Entries |
Document | Title | Date |
20080219584 | Image enhancer for detecting and identifying objects in turbid media - An image enhancer that includes a laser for emitting an optical signal toward an object in a turbid medium, a modulator for modulating laser intensity of the laser, an RF source for driving the modulator and for providing a reference signal, an optical detector for detecting the modulated optical signal that is reflected from the object, the optical detector converting the reflected optical signal into an electrical signal, the electrical signal having RF and DC components, an I/Q demodulator for mixing the RF component of the electrical signal with the reference signal and producing in-phase and quadrature phase signal components that can be digitized and processed such that both contrast and range images of the object are produced. | 09-11-2008 |
20080226191 | PICTURE PROCESSING APPARATUS AND METHOD - A smoothing filter generates a smoothed picture by smoothing a brightness component of an input picture. An adjustment filter generates an adjusted picture by applying a filter to an area of the input picture. The filter has the same characteristic as the smoothing filter. The area has a brightness matched with a predetermined condition of noise detection. A contrast component calculation unit calculates a contrast component of the input picture by dividing each pixel value of the adjusted picture with a corresponding pixel value of the smoothed picture. An output picture generation unit generates an output picture by multiplying the smoothed picture with the contrast component. | 09-18-2008 |
20080247662 | Image Processing Device - An image processing device includes: a first smoothing unit calculating, regarding multiple positions along a first direction in a neighbor region of a predetermined pixel of interest in an input image, a first-stage smoothing value wherein pixel values have been smoothed along a second direction differing from the first, for a first channel; a second smoothing unit calculating, regarding multiple positions along the first direction in the neighbor region, a first-stage smoothing value wherein pixel values have been smoothed along the second direction, for a second channel; an intensity estimating unit estimating the intensity of the first-stage smoothing value of the second channel, based on the first-stage smoothing values of the first and second channels; and a third smoothing unit calculating a second-stage smoothing value for the second channel, the first-stage smoothing value of the second channel intensity-estimated by the intensity estimating unit having been smoothed along the first direction. | 10-09-2008 |
20080279473 | Enhancing the quality of decoded quantizes images - A system for image enhancement and, more particularly, a system for enhancing the quality of a quantized image. | 11-13-2008 |
20080298709 | Apparatus and method for reducing image noise with filter matrix and computer readable medium stored thereon computer executable instructions for performing the method - An apparatus for reducing image noise with filter matrix comprises a first input unit for receiving input of an object image data for conversion; a second input unit for receiving input of a size data of a convention area; a first output unit for setting conversion unit matrixes movable in the conversion area in a predetermined direction relative to a standard matrix; a second output unit for outputting average values of image information of pixels corresponding to the conversion unit matrixes set by first output unit and outputting an average value of image information of pixels corresponding to the standard matrix; an arrangement unit for calculating difference values between the average value of the standard matrix and the average values of the conversion unit matrixes and arranging calculation (difference) values according to size; and a conversion unit for low-pass filtering the conversion unit matrixes having calculation values smaller than a predetermined ordinal number among the arranged calculation values. | 12-04-2008 |
20080298710 | Image signal processing apparatus for generating bright signal of high reproducibility - An image signal processing apparatus and method for processing an image signal input from an analog-to-digital converter (ADC) in a pixel-by-pixel basis and generating a bright signal corresponding to chrominance signals comprise a low pass filter (LPF), an subtractor, an adder, and a bright signal controller. The LPF cancels a high frequency component of the chrominance signals contained in the input image signal. The subtractor generates a high frequency component signal by subtracting an output signal of the LPF from the input image signal. The adder generates the bright signal by adding the high frequency component signal generated by the subtractor to the output signal of the LPF. The bright signal controller increases the high frequency component signal generated by the subtractor if a pixel position of the input image signal is within an object range, and decreases the high frequency component signal generated by the subtractor if a pixel position of the input image signal is out of the object range. | 12-04-2008 |
20080298711 | Enhancing the quality of decoded quantized images - A system for image enhancement and, more particularly, a system for enhancing the quality of a quantized image. | 12-04-2008 |
20080310751 | Method And Apparatus For Providing A Variable Blur - A de-noising circuit for filtering image data is provided. The denoising circuit includes a buffer for storing a portion of the image data and detail detection circuitry configured to determine a filter coefficient to be applied to a reference pixel value within the portion of the image data. A blur filter configured to average values within the portion of the image data is included. The blur filter repeats the reference pixel value as specified by the filter coefficient to generate blurred image data. Selection circuitry configured to select between the blurred image data and the unfiltered image data based on a selection signal from the detail detection circuitry is included. A method for filtering image data and a device are also included. | 12-18-2008 |
20090022416 | REDUCTION OF COMPRESSION ARTEFACTS IN DISPLAYED IMAGES, ANALYSIS OF ENCODING PARAMETERS - A hither before unknown cause of image artefacts has been identified. Encoders such as MPEG encoders may use two picture structures: Field pictures and frame pictures. For a frame picture both frame and field-based DCT (and other types) of coding may be used. The decision whether to use frame or field based coding is not always made correctly. In the decoded image this leads to an image artefact visible as stripped blocks. The invention reduces, in one aspect of the invention, these artefacts by analyzing the block content on the presence of such artefacts and if the analysis proof the existence of such artefacts applying a vertical low pass filter to the data in the block. In another aspect of the invention encoding parameters are checked for combination of encoding parameters for which the artefact may occur and such blocks are indicated. The invention may be embodied in a method as well as in a device such as a receiver, encoder, decoder, display device etc. | 01-22-2009 |
20090034867 | ENHANCING DYNAMIC RANGES OF IMAGES - Methods and apparatus according to various aspects take as input image data in a lower-dynamic-range (LDR) format and produce as output enhanced image data having a dynamic range greater than that of the input image data (i.e. higher-dynamic range (HDR) image data). In some embodiments, the methods are applied to video data and are performed in real-time (i.e. processing of video frames to enhance the dynamic range of the video frames is completed at least on average at the frame rate of the video signal). | 02-05-2009 |
20090034868 | ENHANCING DYNAMIC RANGES OF IMAGES - Methods and apparatus according to various aspects take as input image data in a lower-dynamic-range (LDR) format and produce as output enhanced image data having a dynamic range greater than that of the input image data (i.e. higher-dynamic range (HDR) image data). In some embodiments, the methods are applied to video data and are performed in real-time (i.e. processing of video frames to enhance the dynamic range of the video frames is completed at least on average at the frame rate of the video signal). | 02-05-2009 |
20090041372 | Method for an Image Adjustment - A method for an image adjustment is disclosed. The method comprises the steps of: reading an interested pixel and its plural neighboring pixels from an image storage device; determining a so-called first gradient value of the first direction and a so-called second gradient value of the second direction, wherein the first direction is the orthogonal direction of the second direction; comparing the first and the second gradient values; executing a sharpness adjustment to the interested pixel along the direction which has larger gradient value; then executing a noise reduction or smoothing adjustment to the interested pixel along the direction which has smaller gradient value; and repeating the steps until all interested pixels are processed and obtaining a new pixel value. | 02-12-2009 |
20090041373 | Method for Discriminating Textures Regions and Homogeneous or Flat Regions in an Image and Methods for Estimating Noise in an Image Sequence - A method for discriminating textured regions and homogeneous or flat regions in an image. A multi-scale or multi-resolution measurement is performed with respect to the image. Alternatively or additionally, the image is analyzed by using a prior measured noise value and a local variance value in or with respect to the image. | 02-12-2009 |
20090052798 | METHOD FOR ELIMINATING NOISE FROM IMAGE GENERATED BY IMAGE SENSOR - A method for eliminating noise from an image generated by an image sensor, includes: setting a group of pixels arranged in a square matrix and including a central pixel intended to eliminate the noise in the image and peripheral pixels arranged around the central pixel; obtaining absolute difference values between a luminance value of the central pixel and a luminance value of the peripheral pixels according to directionalities of the peripheral pixels about the central pixel; comparing the obtained absolute difference values with first critical values to determine a region to which the central pixel belongs; when the determined region is the contour region, eliminating noise of the group of the pixels according to directionality of the contour; and when the determined region is the noise region, eliminating the noise of the group of the pixels according to a noise level of the group of the pixels. | 02-26-2009 |
20090060372 | OBJECT REMOVAL FROM IMAGES - Using identification of their sizes and positions, objects may be attenuated or removed from images. This may involve the use of various filtering operations and may further include coordinate transformations prior to and/or after the filtering. The filtered objects may then be subtracted from the image. | 03-05-2009 |
20090060373 | METHODS AND COMPUTER READABLE MEDIUM FOR DISPLAYING A RESTORED IMAGE - Methods and computer program readable medium for restoring an image. The methods include the steps of selecting one or more frames followed by determining the regions of interest so that blurring effect is determined in the regions of interest using various techniques. The regions of interest are then deblurred and one of the deblurred regions of interest is then blended with the frame resulting in a restored frame. | 03-05-2009 |
20090087119 | METHOD AND APPARATUS FOR ARBITRARY RATIO IMAGE REDUCTION - Disclosed is a method for re-sampling an input image comprising input samples to produce an output image comprising output samples. The method includes the following steps. A set of kernel values ( | 04-02-2009 |
20090097773 | IMAGE PROCESSING DEVICE AND METHOD AND PROGRAM - An image processing device to process a moving image, which is shot by a video shooting device, in increments of access units, includes: a correcting unit to correct the access unit to be processed by changing the properties of a low-pass filter which indicates imaging blur according to parameter values showing the properties of imaging blur which occurs at the time that the moving image is shot with the video shooting device, generating an inverse filter having inverse properties as to the low-pass filter, and performing processing to apply the inverse filters as to the access unit to be processed; wherein, with a frequency of which the frequency property of the low-pass filter indicating the imaging blur is zero being zero points, performing processing to apply the inverse filter is forbidden for predetermined frequency components of the frequency components of the access unit to be processed including the zero points. | 04-16-2009 |
20090123085 | IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS AND IMAGE PROCESSING METHOD - A local density calculation section calculates a density of a pixel region with a predetermined size including a current point of an input image disposed at the center on the basis of a pixel value of the pixel region. A mixing ratio calculation section generates a coefficient set of coefficients α and β in accordance with a local density value calculated by the local density calculation section, and outputs the generated coefficients α and β to a weight process section. The weight process section multiplies an operation result obtained from the input image by a first filter operation section by the coefficient α, multiplies an operation result obtained from the input image by a second filter operation section by the coefficient β, adds the multiplied results to each other and outputs the result of addition as a process result of a spatial filter process section. | 05-14-2009 |
20090129696 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus is configured to reduce a color blur in a color image, and includes a color blur process determination part configured to change at least one of a color blur that serves as a reduction object and an estimation method of an amount of the color blur according to at least one of a characteristic of an image and an imaging condition. | 05-21-2009 |
20090141998 | IMAGE PROCESSING DEVICE, IMAGE DISPLAY DEVICE, AND IMAGE PROCESSING METHOD THEREFOR - It is an object to provide an image processing device, an image display device, and an image processing method therefor that are capable of curbing generation of a pseudo edge in a digital image. | 06-04-2009 |
20090148061 | Method and System for Imaging with a Zoom - An imaging system and method are presented for use in imaging with zoom. The system comprises a pixel detector array (PDA), an optical focusing arrangement, and a spatial filter configured and operable to selectively switch between at least two transmitting states. Distributions of an optical resolution of the optical focusing arrangement and of a geometrical resolution of the PDA define an aliasing window along an at least one direction. | 06-11-2009 |
20090161980 | SPECKLE REPORTING IN DIGITAL RADIOGRAPHIC IMAGING - A method for reporting image quality obtains a digital radiological image and processes the image to detect at least one speckle. Noise signal magnitude in the digital radiological image is estimated. At least one speckle is identified according to its signal magnitude relative to the noise signal estimate. The at least one speckle detected in the image is reported. | 06-25-2009 |
20090185755 | APPARATUS AND METHOD FOR REMOVING MOIRE PATTERN OF DIGITAL IMAGING DEVICE - An apparatus for and a method of removing a moire pattern of a digital imaging device are provided. It is determined whether or not a moire pattern is created based on an image frequency of a preview image and a spatial frequency of an image sensor, and when it is determined that a moire pattern is generated, an optical path of light incident to an image sensor is slightly changed to remove the moire pattern. Accordingly, image quality deterioration can be improved, and a problem of unnecessary filtering that causes deterioration of resolution even when there is no moire pattern can be enhanced. | 07-23-2009 |
20090185756 | Image processing device and image processing method - An image processing device is for generating a smoothed image with an input image blurred. The device includes first low pass filters each set with a different range of level value, using each pixel in the input image or a first input image generated based on the input image as a pixel of interest, extracting each pixel that has a level value of each pixel in a filter size within a range of level value, and generating a first level value limit smoothed image by smoothing a level value of an extracted pixel to be used as a level value of the pixel of interest. The device also includes a first synthesis processing unit that uses each pixel in the input image or a second input image generated based on the input image as a processing object pixel. | 07-23-2009 |
20090190853 | IMAGE NOISE REDUCTION APPARATUS AND METHOD, RECORDED MEDIUM RECORDED THE PROGRAM PERFORMING IT - An apparatus and a method of reducing a noise component existed in a surrounding part of an image photographed in an image sensor. According to an aspect of the present invention, an apparatus differentially reducing a noise of an image according to an area of the image includes a filter area selecting unit, selecting a filter area including a plurality of adjacent pixels based on an object pixel; and a noise reducing unit, computing pixel data of the object by using pixel data of the plurality of adjacent pixels in the filter area, whereas the filter area selecting unit determines the size of the filter area according to the distance between the object pixel and a center pixel of the image. The present invention can prevent a noise component of a surrounding part from being amplified by using a different low pass filter in a center part and a surrounding part of an image and can acquire the resolution and quality of the desired image. | 07-30-2009 |
20090202169 | IMAGE TRANSMITTING APPARATUS, IMAGE RECEIVING APPARATUS, IMAGE TRANSMITTING AND RECEIVING SYSTEM, RECORDING MEDIUM RECORDING IMAGE TRANSMITTING PROGRAM, AND RECORDING MEDIUM RECORDING IMAGE RECEIVING PROGRAM - An image transmitting apparatus includes a region detecting unit detecting, in an image, a region of interest matching a predetermined condition; a resolution converting unit selecting, for reducing resolution of the image, an image passed through a low-pass filter as an image outside the detected region of interest and an image not passed through the low-pass filter as an image inside the region of interest; and a transmitting unit transmitting the image with reduced resolution and positional information of the region of interest. An image receiving apparatus includes a resolution restoring unit performing image quality improvement processing on the region of interest obtained from the positional information and included in the image transmitted from the image transmitting apparatus so as to increase resolution in the region of interest; and a combining unit combining the image inside the processed region of interest with the image outside the region of interest. | 08-13-2009 |
20090208129 | Image Generating Apparatus and Method - There are provided an image generating apparatus and an image generating method, which are capable of generating an image with only a noise portion reliably deleted. A reduced image is generated by reducing the multi-valued image, smoothing processing is executed on the reduced image, an edge image is generated from the reduced image, edge angle information concerning edge angles is generated in pixel units from the edge image, a synthesizing rate of the multi-valued image and the smoothed reduced image is calculated in pixel units of the reduced image based upon the edge angle information. An enlarged image is generated by enlarging the smoothed reduced image to an identical scale, the synthesizing rate calculated in pixel units of the reduced image is converted into a synthesizing rate in pixel units of the enlarged image, and the multi-valued image and the enlarged image are synthesized based upon the converted synthesizing rate. | 08-20-2009 |
20090238488 | APPARATUS AND METHOD FOR IMAGE INTERPOLATION BASED ON LOW PASS FILTERING - An apparatus and method for image interpolation based on low pass filtering are provided. The apparatus includes an edge direction detector detecting an edge direction for a pixel nearest to a to-be-interpolated pixel among pixels and determining the edge direction of the to-be-interpolated pixel as the detected edge direction, a pixel value calculator calculating pixel values of interpolation points located in a lattice filtering window having a predetermined size by using pixel values of pixels located adjacent to the interpolation points, and a filtering unit performing low pass filtering on the to-be-located pixel according to a low pass filter corresponding to the determined edge direction of the to-be-interpolated pixel, the low pass filter being one of low pass filters corresponding to predetermined vertical, horizontal, left diagonal and right diagonal directions respectively. Accordingly, a process of calculating the pixel value of the to-be-interpolated pixel can be simplified and a processing speed can be increased. Furthermore, it is possible to obtain a high-quality image without having image deterioration such as blocking effect caused by an error in a pixel value even for a region with an uneven edge. | 09-24-2009 |
20090257676 | SYSTEMS AND METHODS FOR PICTURE EDGE ENHANCEMENT - Systems and methods for effectively and naturally enhancing the relative contrast between an image object and the surrounding background image in television pictures. In one embodiment, a television system preferably comprises a central processing unit (CPU) coupled to an audio-video output unit. The CPU preferably comprises non-volatile memory coupled to a logic unit which is adapted to receive and process a program signal S | 10-15-2009 |
20090274385 | SUPER RESOLUTION USING GAUSSIAN REGRESSION - A computer implemented technique for producing super resolution images from ordinary images or videos containing a number of images wherein a number of non-smooth low resolution patches comprising an image are found using edge detection methodologies. The low resolution patches are then transformed using selected basis of a Radial Basis Function (RBF) and Gaussian process regression is used to generate high resolution patches using a trained model. The high resolution patches are then combined into a high resolution image or video. | 11-05-2009 |
20090279806 | IMAGE QUALITY IMPROVING APPARATUS AND IMAGE QUALITY IMPROVING METHOD - Unnecessary flare correction at the boundary between a blanking area and video signal area is suppressed. An image quality improving apparatus includes 2-dimensional low-pass filter circuit | 11-12-2009 |
20090297057 | IMAGE PROCESSING APPARATUS AND METHOD - An image processing apparatus and a method thereof are introduced herein. In the method, an image is divided into a plurality of blocks, and a corresponding image processing ratio is set to each of the blocks, wherein each of the blocks includes a plurality of image unit data. Next, the image processing ratios are stored in a filter table, wherein the image unit data of each of the blocks has the corresponding image processing ratio. Next, the filter table is read out and decoded to generate a plurality of filter coefficients, and the corresponding image unit data is obtained according to each of the filter coefficients. Next, filter operation is performed to the corresponding image data and the filter coefficient for outputting a filter operated image data. The image processing ratio can be a zoon ratio or a blur ratio. | 12-03-2009 |
20090317016 | Movement-adaptive noise reduction apparatus, image signal processing apparatus, image inputting processing apparatus and movement-adaptive noise reduction method - Disclosed herein is a movement-adaptive noise reduction apparatus, including a memory, a mixing control section, a movement component extraction section, a low-pass filter section, and a movement decision control section. In the apparatus, the movement decision control section and the low-pass filter section receive, from the outside, information regarding the gain value upon an amplification process to which the image signal is subjected before inputted to the mixing control section to control at least one of the threshold value and the filter characteristic in response to the information. | 12-24-2009 |
20100014772 | Signal line correction method and apparatus - A method for use with a radiation image detector, including the steps of detecting a faulty signal line having a signal amount less than a predetermined threshold value based on radiation image signals read out from the detector, setting a signal line adjacent to the faulty signal line as an abnormal signal line and a signal line adjacent to the abnormal signal line and having a normal amount of signal as a reference signal line, calculating the difference between a signal read out by the abnormal signal line and a signal read out by the reference signal line as a correction amount, calculating a low frequency component correction amount by removing a high frequency component from the calculated correction amount, and performing a correction on the signal read out by the abnormal signal line by adding the calculated low frequency component correction amount to the signal. | 01-21-2010 |
20100027906 | Image processing unit, noise reduction method, program and storage medium - An image processing unit is disclosed that smoothens a notice pixel of input image data with pixel values of pixels around the notice pixel to reduce noise in the image data. The image processing unit includes an edge extraction unit that extracts an edge based on the pixel values of the image data; a region determination unit that determines a region to be processed where a sum of edge intensities of the pixels including the notice pixel becomes greater than or equal to a threshold; and a smoothening unit that changes a smoothening intensity in accordance with a size of the region to be processed to smoothen the notice pixel corresponding to the region to be processed. | 02-04-2010 |
20100040304 | IMAGE QUALITY IMPROVEMENT PROCESSING APPARATUS, IMAGE QUALITY IMPROVEMENT PROCESSING METHOD AND COMPUTER-READABLE RECORDING MEDIUM STORING IMAGE QUALITY IMPROVEMENT PROCESSING COMPUTER PROGRAM - The present invention provides an image quality improvement processing apparatus that removes occlusion regions and regions that the registration error is large, selects pixels suitable for the image quality improvement processing, and generates an image with high image quality. | 02-18-2010 |
20100061650 | Method And Apparatus For Providing A Variable Filter Size For Providing Image Effects - A de-noising circuit for filtering image data is provided. The de-noising circuit includes a buffer for storing a portion of the image data and detail detection circuitry configured to determine a filter size. The determined filter size is then applied to a captured image to improve the quality of the image by smoothing transitions within the image. To determine an appropriate filter size, a comparison is made between a sum of differences between a center pixel value within a first pixel matrix size and all of the remaining values within the first pixel matrix size, and a threshold range value. The threshold range value corresponds to a specific filter size. Various filter sizes are provided allowing for different smoothing effects, depending on the filter size used. Selection circuitry configured to select between either unfiltered data, or filtered data using one of various sizes of filters based on a selection signal from the detail detection circuitry is included. | 03-11-2010 |
20100067822 | SYSTEM AND METHOD OF SUPER-RESOLUTION IMAGING FROM A SEQUENCE OF TRANSLATED AND ROTATED LOW-RESOLUTION IMAGES - A method and system for super-resolving images from low-resolution sequences comprising an image processor having an input for inputting multiple images of a scene with sub-pixel translations and rotations; one of the images of the scene being a reference image; and at least one memory comprising a gross translation estimation algorithm for estimating overall translations of at least one image with respect to the reference image on the image processor and aligning the inputted images according to the gross translation estimates on the image processor; a sub-pixel estimation algorithm for obtaining the sub-pixel shift and rotation of each image with respect to the reference image; and an error reduction algorithm for applying at least one spatial frequency domain constraint and at least one spatial domain constraint to the images to produce a high-resolution image. | 03-18-2010 |
20100074550 | Multi Format Video Filter Design - Current generation digital media processors support multi-format video resolutions, SDTV, Progressive Scan and HDTV. Built-in video encoders directly support NTSC and progressive 480 P video outputs. These two video formats have different image bandwidth and output gain requirements, but are normally filtered by fixed bandwidth filters. This invention provides adjustable filter bandwidth for improved video filtering and solves the dilemma on filter bandwidth design for multi-format video applications. The invention is applicable to video reconstruction filter applications requiring bandwidth adjustable filters. | 03-25-2010 |
20100074551 | LEARNING-BASED PARTIAL DIFFERENTIAL EQUATIONS FOR COMPUTER VISION - Partial differential equations (PDEs) are used in the invention for various problems in computer the vision space. The present invention provides a framework for learning a system of PDEs from real data to accomplish a specific vision task. In one embodiment, the system consists of two PDEs. One controls the evolution of the output. The other is for an indicator function that helps collect global information. Both PDEs are coupled equations between the output image and the indicator function, up to their second order partial derivatives. The way they are coupled is suggested by the shift and rotational invariance that the PDEs should hold. The coupling coefficients are learnt from real data via an optimal control technique. The invention provides learning-based PDEs that make a unified framework for handling different vision tasks, such as edge detection, denoising, segementation, and object detection. | 03-25-2010 |
20100074552 | REMOVING BLUR FROM AN IMAGE - Embodiments related to the removal of blur from an image are disclosed. One disclosed embodiment provides a method of performing an iterative non-blind deconvolution of a blurred image to form an updated image. The method comprises downsampling the blurred image to form a blurred image pyramid comprising images of two or more different resolution scales, downsampling a blur kernel to form a blur kernel pyramid comprising kernels of two or more different sizes, and deconvoluting a selected image in the blurred image pyramid according to a Richardson-Lucy deconvolution process in which a bilateral range/spatial filter is employed. | 03-25-2010 |
20100080484 | Image Processing Apparatus, Image Processing Method, and Computer Program - An image processing apparatus capable of executing filter processing with a desired blurring degree selected in accordance with an application from a multi-valued image captured an object surface, the image processing apparatus comprises: a first filter processing device for executing smoothing processing on the multi-valued image, a second filter processing device for creating a reduced image reduced from the multi-valued image with an image reduction ratio, executing smoothing processing on the reduced image, and creating an enlarged image of the smoothed image enlarged with an image enlargement ratio corresponding to the image reduction ratio, and an image display device for displaying a processed image by the first filter processing device or the second filter processing device. | 04-01-2010 |
20100086229 | Image signal processing apparatus and method - An image signal processing method. A first coefficient indicating a probability that a first pixel of an input image is an edge may be calculated. A first edge enhanced signal where an edge of the input image is enhanced may be multiplied with the first coefficient, and a first low-pass filtered signal where the input image is low-pass filtered may be multiplied with a second coefficient indicating a probability that the first pixel is not an edge. The two calculated values may be added, and thus an edge enhanced signal may be generated. | 04-08-2010 |
20100092103 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING PROGRAM - An image processing apparatus includes: an image obtaining unit that obtains an image captured with an image sensor; and a defect information generating unit that generates defect information indicating a defect within the image having been obtained, based upon a value at a target pixel and an average value of a plurality of pixel values corresponding to pixels present within a predetermined range containing the target pixel. | 04-15-2010 |
20100098350 | Blur Computation Algorithm - Disclosed herein is an improved blur computation algorithm. The proposed algorithm accomplishes a blur of an image using fragment programs on a GPU. Alternatively, the blur may be computed on a CPU through emulation or directly programmed. Modifications of the program are possible that accomplish motion blur, zoom blur, radial blur, and various other forms of blur that vary across an image computed for the purpose of simulating depth-of-field. | 04-22-2010 |
20100104213 | Image processing apparatus, image processing method, and computer program - An image processing apparatus includes: ΔΣ modulation means for applying, when predetermined signal processing is applied to a modulated image obtained by applying ΔΣ modulation to an image in a signal processing unit, the ΔΣ modulation to the image, wherein a frequency characteristic of noise shaping by the ΔΣ modulation is a characteristic opposite to a frequency characteristic of the predetermined signal processing. | 04-29-2010 |
20100150466 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS - To effectively remove halo in an image processing method and an image processing apparatus for compressing the dynamic range of an image to convert the image to an image suitable for image recording or image display. The means for achieving this purpose comprises, in an image processing method for compressing the dynamic range of an image, an inputting step of inputting image data; a low frequency component calculating step of calculating the low frequency component of the input image data for each pixel; an image processing step of calculating an image process value for each pixel by use of an equation indicated below; and an outputting step of outputting image data including the image process value calculated in the image processing step. Snp=a | 06-17-2010 |
20100150467 | Methods, systems, and computer readable media for synthetic wavelength-based phase unwrapping in optical coherence tomography and spectral domain phase microscopy - In accordance with this disclosure, methods, systems, and computer readable media for synthetic wavelength-based phase unwrapping in optical coherence tomography are provided. Synthetic wavelength phase unwrapping can be applied to OCT data and can correctly resolve sample motions that are larger than λ | 06-17-2010 |
20100177982 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND IMAGING DEVICE - An image processing device includes: an estimated plane calculation portion calculating, for inputted image data, estimated planes defined by luminance values in blocks each containing a predetermined number of pixels including a reference pixel; an optimal estimated plane selection portion selecting an optimal estimated plane having a least summation of errors between luminance values of respective pixels in a block and an estimated plane among the estimated planes; a weighting factor calculation portion calculating a weighting factor for the reference pixel base on luminance values of the reference pixel and in the optimal estimated plane; and a weighted smoothing portion computing a sum of products of relative luminance differences between the luminance values of the respective pixels in the block and in the optimal estimated plane and the weighting factor for the reference pixel and adding a luminance value in the optimal estimated plane at a reference pixel position to a result of computation. | 07-15-2010 |
20100183240 | Image processing method and imaging apparatus - An image processing method for reducing noise of an image to be filtered; the method includes a step of creating shrunken image of shrinking ratio r×r (where r is a natural number) by averaging the pixel values for each pixel in a block for every r pixels, a step of obtaining the pixel value in the shrunken image that correspond to the focus pixel in the source image by performing linear interpolation from the shrunken image pixels, a step of determining the noise reduction filter from the focus pixel and reference pixel in the shrunken image, and a step of computing the compensated pixel value of the focus pixel in the source image by weighted sum of each pixel value applying the filter to the focus pixel in the source image and the corresponding shrunken pixel. | 07-22-2010 |
20100202712 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus holds a plurality of intermediate smoothed images smoothed at a plurality of preset level values, reduces the N-th frame image of a moving image received from the outside to generate a reduced image, performs a smoothing process on the generated reduced image at the plurality of preset level values to generate a plurality of intermediate smoothed images, stores the generated intermediate smoothed images in an intermediate smoothed image storing unit, acquires, when generating the smoothed images of the frames after the (N+1)-th frame, one or a plurality of intermediate smoothed images from the plurality of intermediate smoothed images of the N-th frame stored in the intermediate smoothed image storing unit, synthesizes the acquired intermediate smoothed images of the N-th frame and the frames after the (N+1)-th frame of the moving image received from the outside, and generates smoothed images. | 08-12-2010 |
20100226589 | System, method, and computer program product for smoothing - A system and method for a hybrid, variational, user-controlled, 3D mesh smoothing for orphaned shell meshes. The smoothing model is based on a variational combination of energy and equi-potential minimization theories. A variety of smoothing techniques for predicting a new location for the node-to-smooth are employed. Each node is moved according to a specific smoothing algorithm so as to keep element included angles, skew and distortion to a minimum. The variational smoother selection logic is based on nodal valency and element connectivity pattern of the node to smooth. Results show its consistency with both quadrilateral and quad-dominant meshes with a significant gain over conventional Laplacian schemes in terms of mesh quality, stability, user control and flexibility. | 09-09-2010 |
20100232724 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing method includes the following steps. First, noise of a first image is filtered, and the first image is converted to obtain a first luminance signal. Second, a color space converting process is performed upon the first image to obtain a second image. Third, the second image is stored and outputted. Fourth, noise of the second image is filtered, and the second image is converted to obtain a second luminance signal. Fifth, a linear computing is performed to obtain a third image. Sixth, an error compensation is performed upon the third image and the second image, and the third image is outputted. Seventh, the color space converting process is performed to obtain and output a fourth image. The linear computing and the error compensation are performed upon a single image to filter the noise of the images, and thus a load of a system may be decreased. | 09-16-2010 |
20100239181 | Device for Removing Mosquito Noise and Associated Method - A device for removing mosquito noise and associated method is provided to adaptively determine a proper strength for removing the mosquito noise according to image complexities, thereby removing the noise while maintaining the quality of image details. The device includes a buffer, a lookup table, and a strength determining unit. The buffer stores a pixel matrix having a target pixel. The lookup table stores a plurality of coefficients. The strength determining unit, coupled to the buffer and the lookup table, detects the image complexities of the pixel matrix and looks up the lookup table according to the image complexities of the pixel matrix, so as to output a strength coefficient for removing the mosquito noise. | 09-23-2010 |
20100260433 | SYSTEM AND METHOD FOR SCALING IMAGES - A system and method for scaling images are provided. An upscaling algorithm or function is employed that increases the size of an image and then filters the upscaled image to remove aliasing artifacts. The system and method provides for acquiring an image of a first size, detecting the geometry of the image, scaling the image to a second size, and filtering the scaled image with at least one filter based on the detected geometry. During the filtering process, the edges of objects in the upscaled image are detected and different filter frequency responses are provided for the detected edges. Providing different filter frequency responses for the detected edges preserves more details for line images. | 10-14-2010 |
20100290714 | Image processing apparatus and image processing method - To compress a dynamic range of an input image based on a relative value indicating a difference between a luminance value indicating a level value of a correction target pixel in the input image and a luminance value indicating a level value of a smoothed pixel obtained by smoothing a neighboring pixel of the correction target pixel, an image processing apparatus generates a reduced image by reducing the input image, generates a smoothed image from the generated reduced image by smoothing the reduced image while keeping an edge portion thereof, generates an enlarged image by enlarging the generated smoothed image to the size of the original input image, and generates an output image by compressing the dynamic range of the input image, based on relative values between the generated enlarged image and the input image. | 11-18-2010 |
20100303377 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE MEDIUM - An image processing apparatus includes a characteristic value calculator configured to calculate characteristic values of input pixels based on an input pixel signal and a tone controller configured to perform a tone control independently by each of the input pixels using control parameters corresponding to brightness of a peripheral pixel in vicinity of the corresponding input pixel based on each of the characteristic values calculated by the characteristic value calculator. | 12-02-2010 |
20110038558 | METHOD AND APPARATUS FOR RECONSTRUCTING A HIGH-RESOLUTION IMAGE BY USING MULTI-LAYER LOW-RESOLUTION IMAGES - A method of reconstructing a high-resolution image by using multi-layer low-resolution images includes dividing a low-resolution image into a plurality of texture layer low-resolution images and a plurality of base layer low-resolution images; generating a texture layer high-resolution image by compositing the plurality of the texture layer low-resolution images and generating a base layer high-resolution image by compositing the plurality of the base layer low-resolution images; and outputting a high-resolution image by compositing the texture layer high-resolution image and the base layer high-resolution image. | 02-17-2011 |
20110069903 | IMAGE PROCESSING APPARATUS, DISPLAY DEVICE, AND IMAGE PROCESSING METHOD - According to one embodiment, an image processing apparatus includes an obtaining module, a coefficient filter, a large area filter, and a determination module. The obtaining module obtains a feature value indicating an image structure of a pixel block comprising a target pixel to be processed and a surrounding pixel neighboring the target pixel in an input image. The coefficient filter performs filtering on the pixel block using a filter coefficient corresponding to the feature value. The large area filter performs smoothing on a pixel block that are larger than blocks used with coefficient filter. The determination module determines to cause the large area filter to perform the smoothing when the image structure indicated by the feature value is smooth. | 03-24-2011 |
20110081095 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A characteristic image detection interpolation unit performs interpolation processing for increasing the luminance value in low-luminance area which is partly present in an input image. A minimum value filter unit executes minimum value filter processing on an image subjected to the interpolation processing, and a lowpass filter performs lowpass filter processing on the image subjected to the minimum value filter processing, thereby generating a low-frequency component image. A subtracter generates a high-frequency component image by subtracting the low-frequency component image from the input image. Coefficient multiplier adds the luminance value of the high-frequency component image to the input image by a preset ratio K | 04-07-2011 |
20110081096 | APPARATUS AND METHOD FOR IMAGE NOISE REDUCTION - A device and method for removing noise in image are disclosed. A device for removing noise in image includes a signal delay part outputting arrangement of image delay signals generated by delaying input image signals in a predetermined time period, a pixel difference calculating part calculating pixel difference between the input image signal and the image delay signal and calculating a weighing factor applied to the pixel difference based on the calculated pixel difference by a non-linear function, a signal to noise ratio (SNR) measuring part converting the input image signals into frequency signals and calculating a weighing factor for each of the converted frequency signals to output a parameter of signal to noise ratio, and a pixel difference weighing factor generating part generating a weighing factor applied to a final pixel difference to remove noise by applying a range of the weighing factors calculated by the pixel difference calculating part to the weighing factor of the signal to noise ratio output by the SNR measuring part. | 04-07-2011 |
20110085743 | METHOD AND SYSTEM FOR REDUCING RINGING ARTIFACTS OF IMAGE DECONVOLUTION - The present invention relates to a method for reducing ringing artifacts of image deconvolution. A deconvolution is applied to the original blurred image and edges are detected within the deconvolved image. Then edge tapering on the original blurred image is performed based on the detected edges. | 04-14-2011 |
20110097011 | MULTI-RESOLUTION IMAGE EDITING - Visual elements of a first image are changed in accordance with an image editing process to produce an edited high-resolution image and visual elements of a second image are modified in accordance with an emulator process to produce a modified low-resolution image. The emulator process produces the modified low-resolution image with visual changes relative to the second image that mimic perceived visual changes made to the visual elements of the first image by the image editing process to produce the edited high-resolution image. The emulator process is built from a set of one or more image enhancement processes in accordance with an optimization process. | 04-28-2011 |
20110158550 | INFORMATION PROCESSING APPARATUS, PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - An information processing apparatus comprises: a spatial filtering unit configured to perform spatial filtering in a frequency range based on a spatial frequency of an object for image data of a current frame; and a recursive filtering unit configured to perform recursive filtering by obtaining image data, which has been processed prior to the current frame, from a memory, multiplying the obtained image data by a coefficient α (α<1), adding the image data multiplied by the coefficient α to the image data of the current frame after the spatial filtering, and storing the image data after the addition in the memory. | 06-30-2011 |
20110170796 | Method And System For Increasing Signal-To-Noise Ratio - Methods and systems for increasing the signal-to-noise ratio for satellite sensor data or signals, such as hyperspectral imageries (also referred to as datacubes due to their 3-dimensional nature). This is done by reducing the noise in the data or signals by first elevating the noise level temporarily for effective denoising. The denoising process is then performed in this condition and the noise level is then reversibly de-elevated after denoising. The denoising process comprises noise removal in both the spectral and the spatial domains. Once the denoising process is complete, the data is converted back from the spectral and spatial domains. Since this reconstruction process introduces errors, these errors are compensated for using the components from both the original data and denoised data filtered by the low pass filters. | 07-14-2011 |
20110176744 | Apparatus and method for image interpolation using anisotropic gaussian filter - An apparatus and method for image interpolation using an anisotropic Gaussian filter, the image interpolation apparatus including: an edge information calculator calculating a first edge orientation that is an orientation of an edge of each of a plurality of pixels that constitute an input low resolution image, and first edge orientation energy that is a maximal strength of the edge corresponding to the first edge orientation; an image enlarging unit calculating a second edge orientation and second edge orientation energy of each of pixels to be interpolated, which are obtained by subtracting reference pixels corresponding to each of the pixels of the low resolution image among a plurality of pixels that constitute the high resolution image that is obtained by enlarging the low resolution image, based on the first edge orientation and the first edge orientation energy of the adjacent reference pixels; and a pixel value calculator calculating a value of each of the pixels to be interpolated, by using an interpolation filter having a direction and a width determined according to the second edge orientation and the second edge orientation energy of each of the pixels to be interpolated. The Gaussian filter having a direction and a width that are adaptively adjusted according to an orientation and strength of an edge is used to interpolate values of pixels of a high resolution image that is obtained by image enlargement so that deterioration of image quality can be minimized with a small amount of calculation and an image with high quality and high resolution can be generated. | 07-21-2011 |
20110211766 | IMAGE PROCESSING APPARATUS AND METHOD AND IMAGE DISPLAY APPARATUS - There are provided a first intermediate image generating means ( | 09-01-2011 |
20110229052 | BLUR FUNCTION MODELING FOR DEPTH OF FIELD RENDERING - A method and apparatus of depth of field rendering which simulates larger apertures for images captured at a smaller aperture. The depth of field rendering provides selective simulation of out-of-focus effects which are attainable with cameras having a larger aperture when capturing images at a smaller aperture. A blur function model is created based on the relationship between the blur change and the aperture change. This model is used to determine the blur difference which would arise between two images taken at two different apertures. Then the out-of-focus effect is generated by blurring the image in a rendering process based on the blur difference. | 09-22-2011 |
20110235938 | Method and Device for Adaptively Removing Noise from an Image - An image processing method for adaptively removing noise from an image is disclosed. The image processing method includes computing a plurality of gradients for one of a plurality of pixels of the image, determining an edge level and an edge direction of the pixel according to the plurality of gradients, selecting a plurality of nearby pixels from the plurality of pixels according to the edge level and the edge direction, computing a plurality of likelihoods between the pixel and the plurality of nearby pixels, generating a plurality of weights according to the plurality of likelihoods, and applying weighted low-pass filtering to the plurality of nearby pixels and the pixel according to the plurality of weights to generate an output pixel. | 09-29-2011 |
20110243472 | IMAGE PROCESSING DEVICE AND SPATIAL NOISE REDUCING METHOD - The invention discloses an image processing device and method thereof. The image processing device includes an local variance estimator, a noise detector, a spatial de-noise filter. The local variance estimator estimates each pixel of an input image signal to separately output a local variance value of each pixel, and generates a noise threshold according to the local variance values. The noise detector determines which pixel indicates noise or image according to the noise threshold. The spatial de-noise filter filers the pixel indicating noise to generate an output image signal. | 10-06-2011 |
20110249909 | FILTER AND FILTERING METHOD FOR REDUCING IMAGE NOISE - A filter for reducing image noise including a sum of absolute difference (SAD) unit and a weighting unit is provided. The SAD unit receives pixels of a target window and receives multiple pixels of multiple peripheral windows, which are neighboring to a target pixel of the target window. Each of the peripheral windows has a peripheral pixel neighboring to the target pixel. The SAD unit calculates absolute differences for each of the pixels corresponding to the target window and the peripheral window. The absolute differences are calculated by a difference calculation to obtain a difference analyzed value. The weighting unit receives each of the difference analyzed values and assigns multiple weights respectively to the peripheral pixels according to a data table. | 10-13-2011 |
20110268368 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus creates a basic-structure component image representing an image that an input image except edge is smoothed while preserving the edge in the input image; and creates a detail component image representing an image that the basic-structure component image is subtracted from the input image. Subsequently, the image processing apparatus decomposes the detail component image into a plurality of frequency-band images through multiresolution transform processing, and performs noise removal on the obtained frequency-band images. After that, the image processing apparatus performs inverse multiresolution transform processing of combining the noise-removed frequency-band images, thereby creating a noise-removed detail-component image. | 11-03-2011 |
20110274368 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing device includes: an upsampling section; a motion compensated image generating section; a blend processing section; and an output image generating section. | 11-10-2011 |
20120148172 | IMAGE PROJECTION APPARATUS, CONTROL METHOD, AND PROGRAM - An image projection apparatus includes a calculation unit, a band limiting unit, a reduction processing unit, and an edge enhancement unit. The calculation unit calculates a reduction ratio of an input image. The band limiting unit applies a low-pass filter to the input image. The reduction processing unit produces a reduced image by performing reduction processing with respect to the input image which has undergone an application of the low-pass filter by the band limiting unit using the reduction ratio calculated by the calculation unit. The edge enhancement unit sets a frequency characteristic of a bandpass filter based on a cutoff frequency used by the band limiting unit to apply a low-pass filter to the input image, and performs, using the frequency characteristic, edge enhancement processing with respect to the image reduced by the reduction processing unit. | 06-14-2012 |
20120155785 | REAL-TIME VIDEO DEBLURRING - A method of reducing blurring in an image of size greater than M columns by N rows of pixels, comprises deriving a blur kernel k representing the blur in the image, and deriving an inverse blur kernel k | 06-21-2012 |
20120163729 | SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND SIGNAL PROCESSING PROGRAM - A signal processing apparatus includes: a first low-pass filter filtering a data signal; and a convolving section convolving low frequency components of the data signal obtained by the first low-pass filter with a compensation filter for compensating for signal degradation attributable to low frequency components of impulse response obtained by filtering the impulse response with a second low-pass filter. | 06-28-2012 |
20120177301 | METHOD AND APPARATUS FOR REMOVING IMAGE BLOCKING ARTIFACT BY USING TRANSFORMATION COEFFICIENT - A method and apparatus for removing an image blocking artifact by using a transformation coefficient are provided. The method includes: detecting a first blocking artifact which is in a flat region of the input image; removing the first blocking artifact using a number of low frequency coefficients from among transformation coefficients for each transformation block of a plurality of transformation blocks of the input image, based on a result of detecting the first blocking artifact; detecting an edge region of the input image; and removing a second blocking artifact, which is in an edge region of an intermediate image obtained from the removing of the first blocking artifact of the input image, based on the detected edge region in the input image. | 07-12-2012 |
20120224785 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - This invention makes it possible to obtain an enlarged image while suppressing noise and maintaining the sharpness of an original image only by setting a simple enlargement ratio without no special knowledge. Original image data (Ia) is enlarged in accordance with a set enlargement ratio (E) to generate an enlarged image (IA). The enlarged image (IA) is smoothed by using a smoothing filter with a size depending on the enlargement ratio (E) to generate smoothed image data (IB). Difference image data (IC) is generated by calculating the difference between the enlarged image data (IA) and the smoothed image data (IB). The generated difference image data is multiplied by an emphasis coefficient. The product is added to the enlarged image data, thereby obtaining image data (IS) that has undergone enlargement/unsharp masking. | 09-06-2012 |
20120224786 | HIERARCHICALLY LAYERED ADAPTIVE MEDIAN MOTION VECTOR GENERATION AND SMOOTHING - Methods and systems for hierarchically layered adaptive median motion vector smoothing are disclosed. Aspects of one method may include generating motion vectors (MVs) for video pictures at each level of a hierarchical motion estimation process, where each level may use different resolution video pictures. The MVs may be smooth filtered at each level to reduce or remove spurious MVs. The smooth filtering may comprise scalar median filtering and/or vector median filtering. The smooth filtering may receive as inputs a plurality of MVs, for example, the MV being filtered and eight MVs from the surrounding video blocks. The vector costs of the nine MVs may be compared to a threshold vector cost, and those MVs with costs above the threshold value may be discarded. The threshold value may be dynamically changed based on, for example, content of the video pictures and/or to adjust a window size of the smoothing filter. | 09-06-2012 |
20120237136 | ENHANCING DYNAMIC RANGES OF IMAGES - Methods and apparatus according to various aspects take as input image data in a lower-dynamic-range (LDR) format and produce as output enhanced image data having a dynamic range greater than that of the input image data (i.e. higher-dynamic range (HDR) image data). In some embodiments, the methods are applied to video data and are performed in real-time (i.e. processing of video frames to enhance the dynamic range of the video frames is completed at least on average at the frame rate of the video signal). | 09-20-2012 |
20120263393 | Method to Determine A Pixon Map in Interactive Image Reconstruction and Spectral Analysis - A method for iterative reconstruction of an object containing noise using the pixon method determines the pixon map from a variable that is used to update the object in the iteration. The updating variable is based on an optimized merit function, and smoothes the updating variable during each iteration. The updating variable depends on the reconstruction method, but is typically a gradient of a merit function or a multiplicative update factor. The updated object can optionally also be further smoothed at the end of the iteration, using the pixon map determined during the iteration. | 10-18-2012 |
20120294548 | METHODS FOR DIGITAL IMAGE SHARPENING WITH NOISE AMPLIFICATION AVOIDANCE - A method for sharpening an original digital image includes generating a smoothed image from the original image. A residual image is generated from the smoothed image and the original image. A sharpened smoothed image is generated. The residual image and the sharpened smoothed image are combined to produce a sharpened version of the original image. | 11-22-2012 |
20120301048 | IMAGE PROCESSING APPARATUS AND METHOD - There is provided an image processing apparatus including a first image processing unit configured to perform image processing affecting a high frequency component used to generate a detail component of an image, a detail component generating unit configured to generate the detail component, which is emphasized, using an output of the first image processing unit, and an emphasis unit configured to emphasize detail of the image by combining the emphasized detail component generated by the detail component generating unit with the image. | 11-29-2012 |
20120308153 | DEVICE AND METHOD OF REMOVING NOISE IN EDGE AREA - At the time of processing of an image signal from an image sensor mounted in a small electronic apparatus (e.g. a mobile apparatus), in order to remove noise, certain steps are performed, in accordance with embodiments. Edge values may be detected from an area to be smoothed to detect a feature point. Weights depending on a geometric distance with respect to the feature point may be applied to pixels distributed in the smoothed area. A brightness value as reference may be calculated in consideration of a difference in brightness between a center pixel and a peripheral pixel. Weights may be applied depending on the brightness values of the pixels to perform smoothing. It may therefore be possible to effectively remove noise while maintaining the level on the edge area. | 12-06-2012 |
20120314970 | IMAGE PROCESSING DEVICE, PROCESSING METHOD THEREOF, AND IMAGE PROCESSING SYSTEM HAVING THE SAME - An image processing device is provided. The image processing device includes a weighted low-pass filter which performs weighted low-pass filtering on illumination of sub-sampled pixel signals, and an illumination interpolation circuit which compares illumination of the weighted low-pass filtered pixel signals with illumination of current pixel signals and performs interpolation while applying a weight to illumination of the weighted low-pass filtered pixel signals according to the comparison result. | 12-13-2012 |
20120328210 | METHOD AND SYSTEM FOR GENERATING AN OUTPUT IMAGE OF INCREASED PIXEL RESOLUTION FROM AN INPUT IMAGE - A method and system ( | 12-27-2012 |
20130004097 | IMAGE BLURRING BY TILING A NON-SEPARABLE FIR FILTER - Systems and methods of blurring images may involve partitioning at least a portion of a non-separable finite impulse response (FIR) filter into a plurality of constant response sub-filters, wherein each constant response sub-filter has a rectangular aperture. In addition, the plurality of constant response sub-filters may be used to blur an image. In one example, the non-separable FIR filter may optionally be partitioned into one or more satellite sub-filters, wherein the one or more satellite sub-filters are also used to blur the image. | 01-03-2013 |
20130004098 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a thinning processing unit which performs thinning processing on image data and a smoothing processing unit which performs smoothing processing on the image data. The image processing apparatus further includes an edge direction determination unit which determines an edge direction with respect to each pixel of the image data, a blending processing unit which decides a pixel value of a target pixel of when the smoothing processing and the thinning processing are realized at the same time, and a thinning adjustment unit which determines whether a thinned pixel becomes isolated, and the thinning adjustment unit resets the change amount in pixel value due to the thinning processing of the thinned pixel to a value of zero, if the thinned pixel is determined to be isolated. | 01-03-2013 |
20130058591 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - In the conventional method, the burden of the processing is very heavy because tracking of light beams is performed and an erroneous estimation of a shape causes a factor to deteriorate image quality. An image processing apparatus that generates composite image data using multi-viewpoint image data obtained by capturing images from a plurality of viewpoints is characterized by including a filter processing unit configured to perform filter processing on the multi-viewpoint image data based on distance information indicative of a distance to a subject and a generation unit configured to generate composite image data by combining the multi-viewpoint image data on which the filter processing has been performed. | 03-07-2013 |
20130077887 | METHODS AND SYSTEMS FOR UP-SCALING A STANDARD DEFINITION (SD) VIDEO TO HIGH DEFINITION (HD) QUALITY - A computerized system for up-scaling a source input video from a lower, first resolution to a desired output video having a higher, second resolution, using fractal zooming techniques to replace each individual source pixel of each respective frame of the source input video with a multiple of proposed replacement pixels in the vertical and horizontal dimensions having similar characteristics as the individual source pixel, converting each of the proposed replacement pixels into a desired color space for the desired output video, using low-pass filtering to reduce noise associated with each respective frame of the desired output video, down-sizing the output video to its desired resolution, and outputting each zoomed replacement frame to generate the desired output video. | 03-28-2013 |
20130084023 | MULTISTEP CORRECTION FOR ANGLE CONSISTENT ARTIFACTS IN RADIAL SAMPLED DATASETS - This document discloses, among other things, a method for removing a bullseye artifact from a radial image generated using magnetic resonance and using a swept frequency pulse. | 04-04-2013 |
20130121609 | METHOD FOR RESTORING AND ENHANCING SPACE BASED IMAGE OF POINT OR SPOT OBJECTS - A method for restoring and enhancing a space based image of point or spot objects. The method includes: 1) dividing a space-variable degraded image into multiple space-invariant image sub-blocks, and constructing a point spread function for each of the image sub-blocks; 2) correcting each of the image sub-blocks via a space-invariant image correction method whereby obtaining a corrected image {circumflex over (f)} | 05-16-2013 |
20130129247 | SYSTEM AND METHOD FOR ENHANCING THE LEGIBILITY OF DEGRADED IMAGES - Disclosed are embodiments for a system, method, and computer program product for performing an process on an original image, the process being implemented by a computer system performs a comprising the at least one computer: performing an process on an image that renders the processed image legible than then the original image, wherein the analysis segregates dark pixels of the image from light pixels of the image. The method can comprise: first converting the image into a grayscale image. The method comprises processing a pixel area for each pixel of the image is a dark pixel or a light pixel and determining if a pixel is proximate to an edge. | 05-23-2013 |
20130129248 | Method and Device for Obtaining an Image of a Crumpled Document From an Image of Said Document When Same is Crumpled - The present invention relates to a method and device for obtaining an image of a crumpled document from an image of this document when it is crumpled. The method comprises a step of determining a three-dimensional geometric model of the surface of the crumpled document by triangulation of three-dimensional points defined from the pattern of a target extracted from the image of this document when it is crumpled; the method is characterised in that it comprises a step of determining a projection of the three-dimensional geometric model onto a so-called acquisition plane, by means of error minimisation of this projection under constraints of preserving defined geometric characteristics in the vicinity of the three-dimensional points, and in that it comprises a step of superimposing the textures associated with the three-dimensional model onto the projection of this model thus determined. The present invention likewise relates to target patterns that make it possible to improve the quality of the image resulting from the method to be improved and/or to reduce the cost for computing said image. | 05-23-2013 |
20130142449 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a reducing unit that reduces an input image chronologically input as moving images and accumulates a reduced image of the input image as a first reduced image in a predetermined memory. The image processing apparatus further includes a generating unit that generates, as a second reduced image, one reduced image from multiple first reduced images accumulated in the memory. The image processing apparatus further includes a smoothing unit that smooths level values of a pixel included in the second reduced image and pixels surrounding the pixel with respect to each of multiple ranges set according to the width of level values of pixels. The image processing apparatus further includes a synthesizing unit that synthesizes multiple range-by-range results of the smoothing on the basis of the input images. The image processing apparatus further includes an output unit that outputs a synthesized image as an output image. | 06-06-2013 |
20130156337 | METHOD FOR REMOVING NOISE OF IMAGE - A method for removing noise of an image. The method includes: (a) detecting a horizontal edge by applying a horizontal edge detection filter to a predetermined pixel field including a notice pixel and neighboring pixel in a vertical direction in image data; (b) judging whether horizontal line noise exists in the predetermined pixel field through the horizontal edge; (c) calculating the number of pixels determined as the horizontal line noise for each horizontal line of the image data by applying steps (a) and (b) to all horizontal lines of the image data; and (d) removing the horizontal line noise by applying a low pass filter to the horizontal line judged to have the horizontal line noise according to the calculation result of step (c). | 06-20-2013 |
20130156338 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus including: an error determination processing unit inputting a distance image having distance information or parallax information up to the subject, detecting an error signal included in the distance image, and outputting a synthesis coefficient according to an error degree of an image region unit; a low pass filter processing unit applying a low pass filter with respect to the distance image and generating a noise reduction distance image; and a distance image synthesis unit generating a corrected distance image using a synthesis process of the distance image and the noise reduction distance image, in which, the distance image synthesis unit follows a synthesis coefficient of an image region unit output by the error determination processing unit, performs synthesis processing in which the synthesis ratio of the distance image and the noise reduction image is set in the image region units, and generates the corrected distance image. | 06-20-2013 |
20130163895 | IMAGE PROCESSING FOR REMOVING A NOISE COMPONENT CONTAINED IN AN IMAGE - An image processing method for removing a noise component contained in an original image, includes: separating an original image into a temporary noise-free image and a temporary noise component; extracting an edge component in the temporary noise-free image by executing edge detection on the temporary noise-free image; determining a fine edge component in the original image contained in the temporary noise component based upon a level of the extracted edge component; extracting an actual noise component by excluding the fine edge component from the temporary noise component; and removing noise from the original image based upon the extracted actual noise component. | 06-27-2013 |
20130182968 | METHOD AND SYSTEM FOR APPLYING FILTER TO IMAGE - A computer-implemented method for applying a filter to an image comprising: receiving a filter setting, selecting a selected filter from a family of filters stored on a computer-readable storage medium, based at least on the filter setting, wherein the family of filters comprises a plurality of filters each being an approximation of a function on different orders, and applying the selected filter to a stored image with a processor. | 07-18-2013 |
20130202220 | IMAGE PROCESS DEVICE, IMAGE PROCESS METHOD, AND IMAGE PROCESS PROGRAM - A mask correcting unit corrects an externally set mask pattern. A depth map processing unit processes a depth map of an input image for each of a plurality of regions designated by a plurality of mask patterns corrected by the mask correcting unit. An image generation unit generates an image of a different viewpoint on the basis of the input image and depth maps processed by the depth map processing unit. The mask correcting unit performs a blurring process on an object boundary part of the mask pattern. | 08-08-2013 |
20130236117 | APPARATUS AND METHOD FOR PROVIDING BLURRED IMAGE - A method of providing a blurred image includes receiving a target image to which a blur effect is to be applied; receiving blur effect information for generating the blur effect in the target image; calculating a sum image for respective pixels of the target image; applying a mean filter to the target image by using the sum image based on the blur effect information; and providing a blurred image formed by applying the mean filter. | 09-12-2013 |
20130272625 | IMAGE EDITING METHOD AND ASSOCIATED METHOD FOR ESTABLISHING BLUR PARAMETER - An image editing method for editing an original image is provided. The original image includes at least a first object and a second object. The method includes steps of: obtaining a first distance between the first object and a lens; obtaining a second distance between the second object and the lens; obtaining a blur matrix set according to the first distance and an optical parameter; obtaining a first blur matrix from the blur matrix set according to the second distance; and performing a blur process on the second object according to the first blur matrix to generate a blurred second object, and generating a simulated image from the first object and the blurred second object. | 10-17-2013 |
20130301952 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR ALIGNMENT OF FRAMES - In an example embodiment a method, apparatus and computer program product are provided. The method includes accessing feature points in a first frame of a content, and aligning a second frame to the first frame based on determining a transformation matrix between the second frame and the first frame based on matching the feature points in the first frame with a corresponding feature points in the second frame. The method further includes aligning at least one subsequent frame from the second frame to the first frame by generating a modified first frame based on a transformation matrix between a preceding frame of a subsequent frame and the first frame, and determining a transformation matrix between the subsequent frame and the first frame based on matching a set of feature points in the modified feature points with corresponding feature points in the subsequent frame. | 11-14-2013 |
20130308874 | SYSTEMS AND METHODS FOR PROVIDING IMPROVED DATA COMMUNICATION - Systems and methods for communicating by a computing device over a communication network are disclosed. The computing device can receive, by a processor in the computing device, image data, apply, by the processor, a low-pass filter associated with a predetermined parameter on at least a portion of the image data to generate blurred image data, and compress, by the processor, the blurred image data using an image compression system to generate compressed blurred image data. Subsequently, the computing device can send, by the processor, the compressed blurred image data over the communication network, thereby consuming less data transmission capacity compared with sending the image data over the communication network. The image data sent over the communication network can include overlay layer information containing modifications to the original image and password protection. | 11-21-2013 |
20130315500 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - There is provided an image processing apparatus including a vector detection unit which detects flow vectors of pixels in an inputted image, a vector-coherency calculation unit which calculates vector coherency based on the flow vectors detected by the vector detection unit, a deformation-characteristic computation unit which computes a deformation characteristic by using the vector coherency calculated by the vector-coherency calculation unit, the deformation characteristic being used for deforming a tap shape of a filter used for each of the pixels, and a painterly conversion unit which converts the inputted image based on the deformation characteristic computed by the deformation-characteristic computation unit. | 11-28-2013 |
20140010473 | SYSTEMS AND METHODS FOR THIN OBJECT IMAGING - A method for imaging an object is provided. The method includes acquiring image data of the object, wherein the image data includes a plurality of original voxels each having an original CT number, identifying, using a processing device, a subset of the original voxels based on at least one of an original CT number and a location of each original voxel, applying, using the processing device, an anisotropic smoothing filter to the identified original voxels in the subset to generate a set of smoothed voxels each having a smoothed CT number, generating, using the processing device, smoothed image data by combining the original voxels and the smoothed voxels, and analyzing the smoothed image data to determine whether the object contains contraband. | 01-09-2014 |
20140016878 | METHOD FOR DIRECTIONAL ADAPTIVE IMAGE INTERPOLATION AND AN ELECTRONIC DEVICE THEREOF - A method of operating an electronic device for image interpolation is provided. The method includes estimating a direction of pixels using a plurality of filters respectively corresponding to a plurality of angles, correcting the direction of the pixels using a direction of neighboring pixels, determining whether the direction estimation has an error according to a direction distribution of the neighboring pixels, and when the direction estimation is determined to have error, correcting the error in the direction estimation. | 01-16-2014 |
20140016879 | PIXEL-WISE NOISE REDUCTION IN THERMAL IMAGES - Methods and systems are provided to reduce noise in thermal images. In one example, a method includes receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns. The pixels comprise thermal image data associated with a scene and noise introduced by an infrared imaging device. The image frame may be processed to determine a plurality of column correction terms, each associated with a corresponding one of the columns and determined based on relative relationships between the pixels of the corresponding column and the pixels of a neighborhood of columns. In another example, the image frame may be processed to determine a plurality of non-uniformity correction terms, each associated with a corresponding one of the pixels and determined based on relative relationships between the corresponding one of the pixels and associated neighborhood pixels within a selected distance. | 01-16-2014 |
20140086506 | IMAGE EDITING DEVICE AND IMAGE EDITING METHOD - An image editing device of the present invention replaces part of a first image that has been subjected to lossy compression with a second image, and comprises a image quality adjustment section for carrying out image quality conversion processing that is the same as image quality variation arising due to the lossy compression, and an editing section for carrying out editing processing using the second image that has been adjusted by the image quality adjustment section. | 03-27-2014 |
20140105517 | SYSTEM, METHOD, AND APPARATUS FOR SMOOTHING OF EDGES IN IMAGES TO REMOVE IRREGULARITIES - System, method, and apparatus for smoothing of edges in images to remove irregularities are disclosed. In one aspect of the present disclosure, a method of image processing includes, identifying an edge in an image having an associated set of edge characteristics, determining the associated set of edge characteristics, and applying a low pass filter to a pixel of the edge based on the associated set of edge characteristics to generate a second image based on the image, wherein the edge in the image is smoothed in the second image. The method further includes generating a third image which is a blend of the original image and the second (edge-smoothed) image based on the associated set of edge characteristics. | 04-17-2014 |
20140105518 | IMAGE PROJECTION APPARATUS, CONTROL METHOD, AND PROGRAM - An image processing apparatus includes a receiving unit, a specifying unit, a controlling unit, and an outputting unit. The receiving unit receives image data. The specifying unit specifies a correction amount of the image data for keystone correction processing. The controlling unit controls, based on the correction amount specified by the specifying unit, the keystone correction processing, filter processing for reducing a predetermined high frequency component, and edge enhancement processing. The outputting unit outputs processed image data which is processed based on the controlling by the controlling unit. | 04-17-2014 |
20140112595 | LOW-FREQUENCY COMPRESSION OF HIGH DYNAMIC RANGE IMAGES - Methods and apparatuses for adjusting a global dynamic range of an image are described. An image is decomposed into (i) a low spatial frequency component and (ii) a high spatial frequency component. The global dynamic range of the low spatial frequency component is adjusted to produce an adjusted low spatial frequency component. The image is reconstructed with (i) the adjusted low spatial frequency component and (ii) the high spatial frequency component to thereby produce a processed image. | 04-24-2014 |
20140133775 | De-Noising Image Content Using Directional Filters for Image De-Blurring - Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two-two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image. | 05-15-2014 |
20140133776 | Systems and Methods for Image Enhancement by Local Tone Curve Mapping - Systems and methods are provided for a method of adjusting a digital image. A low pass filtering is performed on a digital image to remove high frequency data to generate filtered image data. The digital image is divided into a plurality of regions, and a brightness level of a particular region of the digital image is identified using the filtered image data. A transformation curve is selected for the particular region based on the brightness level, and the transformation curve is applied to the particular region to generate adjusted image data for the particular region having adjusted brightness. The adjusted image data is stored in a computer-readable medium. | 05-15-2014 |
20140140634 | RADIATION IMAGING APPARATUS, METHOD FOR CONTROLLING THE SAME, AND PROGRAM - A radiation imaging apparatus includes a radiation imaging unit configured to capture a radiation image of a subject, a wireless communication unit configured to perform wireless communication with an external apparatus, a wireless reception characteristics obtaining unit configured to obtain a wireless reception characteristic of the wireless communication unit, an estimation unit configured to estimate an amount of noise included in the radiation image on the basis of a characteristic value of the wireless reception characteristic, and a correction unit configured to correct the noise included in the radiation image on the basis of the amount of noise estimated by the estimation unit. | 05-22-2014 |
20140153842 | METHOD FOR REDUCING NOISE IN A SEQUENCE OF FLUOROSCOPIC IMAGES BY TEMPORAL AND SPATIAL FILTERING - In the field of medical imaging using fluoroscopy, a method for reducing noise in a sequence of fluoroscopic images acquired by an X-ray detector comprises for each image (x | 06-05-2014 |
20140185954 | INFLUENCE-BASED SOCIAL MEDIA INTERVENTIONS IN HEALTHCARE - A method for matching social network participants includes receiving activity data pertaining to a plurality of participants in a social network. The activity data is parsed to generate activity pattern summaries for each of the participants. The participants are clustered into a plurality of groups according to the activity pattern summaries. At least one participant of influence is determined within at least one group according to the activity data. A social connection is established within the social network between the determined participant of influence and at least one other participant clustered into the same group. | 07-03-2014 |
20140193094 | EDGE SMOOTHING BLOCK FILTERING AND BLENDING - Aspects of an edge smoothing block filter and combinations of the filter with a motion compensated temporal filter are described. In one embodiment, edge smoothing block filtering includes selecting a current pixel to be filtered and selecting a candidate pixel within a search area about the current pixel. The edge smoothing block filtering generally seeks to identify candidate pixels having surrounding pixels similar to pixels surrounding the current pixel. The edge smoothing block filtering further computes a cost difference between pixels within a candidate pixel neighborhood and pixels within a current pixel neighborhood, and filters the current pixel based on the cost difference. Aspects of the filters and filter element combinations may preserve edges and textures adaptively based on image content. For example, diagonal or curved image edges may be filtered along edges while texture is preserved along the edges. | 07-10-2014 |
20140212063 | METHOD FOR NOISE REDUCTION IN IMAGES IN AN IMAGE SEQUENCE - The invention relates to a method for noise suppression in images of an image sequence. | 07-31-2014 |
20140219578 | IMAGE PROCESSING METHOD - An image processing method is provided and includes the following steps. A source image arranged in a Bayer pattern is captured. A first-order image process is performed on the source image to produce a first image in YCbCr format. A second-order image process is performed on the source image to produce a second image in YCbCr format. Then, a noise-reducing process is performed on the first image in YCbCr format to produce a noise-reduced image. A blending operation is performed on luminance image of the noise-reduced image and luminance image of the second image in YCbCr format, and thereafter a chrominance image is combined with the blended image to produce a processed image. A noise reducing degree of the noise-reduced image is higher than that of the second image in YCbCr format. | 08-07-2014 |
20140241646 | MULTI LAYERED IMAGE ENHANCEMENT TECHNIQUE - A system for enhancing an input image including receiving an input image and filtering the input image with a plurality of non-linear smoothing filters providing a respective plurality of filtered outputs. The system processes a plurality of the filtered outputs with respect to at least one of another of the filtered outputs and the input image to determine a plurality of detail layers. The system filters the plurality of detail layers with a plurality of non-linear smoothing filters providing a respective plurality of smoothed layers. The system adjusts the plurality of smoothed layers in such a manner that regions closer to an edge are enhanced to a lesser extent than regions farther from an edge and combining the adjusted the smoothed layers to provide an enhanced output image. | 08-28-2014 |
20140270567 | SELECTIVE PERCEPTUAL MASKING VIA SCALE SEPARATION IN THE SPATIAL AND TEMPORAL DOMAINS USING INTRINSIC IMAGES FOR USE IN DATA COMPRESSION - An automated, computerized method for processing a video is provided. The method includes providing a video file depicting a video, in a computer memory; providing a video file depicting a video, in a computer memory; scale separating the video file by applying an edge-preserving blurring filter to generate a detail scale-separated video and a level scale-separated video corresponding to the video; temporally blurring the detail scale-separated video and spatially blurring the level scale-separated video; combining the filtered detailed scale-separated video and the filtered level scale-separated video to provide an output video; and outputting the output video for use in a data compression operation. | 09-18-2014 |
20140270568 | METHOD AND SYSTEM FOR NOISE REDUCTION IN VIDEO SYSTEMS - A system and method of image processing is provided, including implementing adaptive pixel replacement techniques or reducing noise. The method includes obtaining a data map of an image frame, wherein the data map comprises good pixels and bad pixels at locations associated with the data map. The method also includes assigning different techniques to the bad pixels, wherein a first technique is assigned to a first bad pixel and a second technique is assigned to a second bad pixel. The method further includes adjusting information associated with the bad pixels for a chosen technique for each of the bad pixels. | 09-18-2014 |
20140294318 | GRAY IMAGE PROCESSING METHOD AND APPARATUS - The embodiments provide an image processing method and apparatus, which combine a wavelet transform method with a non-local means method, comprising: performing N-level decomposition of an original gray image by using a wavelet transform method; and performing non-local means processing and wavelet reconstruction of each level of components one by one starting from an N-th level, so as to obtain a processed gray image. The image processing method and apparatus can effectively remove various image noises, and well reserve the image details. | 10-02-2014 |
20140314333 | IMAGE PROCESSING APPARATUS AND RADIOGRAPHIC APPARATUS HAVING THE SAME - Provision can be made of a high-speed image processing apparatus that eliminates poor visibility in a dotted configuration or a superimposed portion of two streaks upon removing a false image due to statistical noise. That is, provision can be made of a high-speed image processing apparatus capable of outputting a processed image of high visibility in accordance with a shape of a configuration of a subject appearing in an original image upon removing a false image associated with the statistical noise. A band image noise extract generating unit performs image processing by superimposing a band image, an isotropic blur image, and an anisotropic blur image while changing weighting for each pixel in accordance with edge reliability. Such a construction eliminates poor visibility in the dotted configuration or the superimposed portion of two streaks upon removing the false image in the original image. | 10-23-2014 |
20140321769 | IMAGE PROCESSING APPARATUS HAVING A PLURALITY OF IMAGE PROCESSING BLOCKS THAT ARE CAPABLE OF REAL-TIME PROCESSING OF AN IMAGE SIGNAL - An image processing apparatus is provided which offers higher versatility than conventional image processing apparatuses. When an input signal to a spatial filtering block is a monochrome signal that contains Y component only, a selector selects its input terminal and a selector selects its input terminal. Then, a low-pass filter output signal of a programmable spatial filter is inputted to a spatial filter, and a low-pass filter output signal of the spatial filer is inputted to a spatial filter. That is, the programmable spatial filter and the spatial filters are connected in series (in cascade), and the cascade-connected three spatial filters perform filtering operation. In this example, low-pass filters with 5H5 taps are connected in cascade in three stages, which enables low-pass filtering with 13H13 taps. | 10-30-2014 |
20140334741 | APPARATUS AND METHOD FOR IMAGE PROCESSING - Disclosed is an apparatus for image processing including a first low pass filter (LPF) which removes high-frequency components from selection information about image data selection between a long-exposure image and a short-exposure image, a movement detector which obtains movement detection information by detecting movement from at least one of the images, a second LPF which removes high-frequency components from the movement detection information, a selector which obtains selection results by selecting one of the selection information from which the high-frequency components are not removed by the first LPF and the selection information from which the high-frequency components are removed by the first LPF, for each pixel group based on the movement detection information from which the high-frequency components have been removed, and a composer which composes the long-exposure image and the short-exposure image based on the selection results. | 11-13-2014 |
20140341480 | IMAGE NOISE REMOVING APPARATUS AND IMAGE NOISE REMOVING METHOD - An image noise removing apparatus which removes, after removal of noise from a first image, noise included in a second image includes: a spatial noise removing unit executing an operation for removing the noise included in the second image using a pixel value included in the second image, thereby generating a spatial noise-free image; a reliability calculating unit calculating a reliability indicating how dynamic the second image is, based on the spatial noise-free image, the second image, and a first noise-free image which is generated from the first image with the noise therein removed; and a temporal blending unit performing, based on the reliability, a weighted summation on the second image and the first noise-free image, thereby removing the noise included in the second image. | 11-20-2014 |
20140348442 | IMAGING OR COMMUNICATIONS SYSTEM UTILIZING MULTISAMPLE APODIZATION AND METHOD - Methods, systems and system components for optimizing contrast resolution of an imaging or sensing system utilizing multiple channels of broadband data associated with an array of transducers. Channels of data are filtered by passing the channels of data through finite impulse response (FIR) filters on each channel. The filters each have multiple taps having tap weights pre-calculated as a function of distance of the array from an object that energy is being transmitted to or reflected from. The weights are pre-computed through a deterministic equation based on an a priori system model. | 11-27-2014 |
20150016745 | METHOD FOR DETERMINING NOISE LEVEL - The present invention relates to a method for determining noise levels in a subband of an image. The method comprises receiving the subband of the image, defining block regions in the at least two space domains of the subband, for each defined block region, identifying first wavelet coefficients associated with coordinate values in the at least two space domains in the defined block region, computing a correlation matrix between identified wavelet coefficients to determine the correlation between first wavelet coefficients according to the at least one color domain, computing second wavelet coefficients, the computation of second wavelet coefficients being based on the correlation matrix and the first wavelet coefficients, computing at least one noise level, the noise level computation being based on at least one second wavelet coefficient and providing the at least one noise level. | 01-15-2015 |
20150036943 | Patch-Based, Locally Content-Adaptive Image and Video Sharpening - Techniques for sharpening an image using local spatial adaptation and/or patch-based image processing. An image can be sharpened by creating a high-frequency image and then combining that high frequency image with the image. This process can be applied iteratively by using the output of one iteration, i.e., the sharpened image, as the input to the next iteration. Using local spatial adaptation and/or patch-based techniques can provide various advantages. How to change the intensity at a given position in the image can be calculated from more than just information about that same position in the input image and the blurred image. By using information about neighboring positions an improved high frequency image can be determined that, when combined with the input image, reduces ringing and halo artifacts, suppresses noise boosting, and/or generates results with sharper and cleaner edges and details. | 02-05-2015 |
20150036944 | Systems and Methods for Transforming an Image - Systems, methods, and computer-readable media acquire an image captured with a mobile device. Motion sensor data of the mobile device at or near a time when the image was captured is acquired. An angle of rotation is computed based on the motion sensor data, and the image is transformed based on the angle of rotation. In another aspect, a user interface enables user control over image transformation. The user interface enables user control over rotating an image on a display at two or more granularities. A point of rotation may be user-defined. Rotated images may be scaled to fit within a viewing frame for displaying the transformed image. | 02-05-2015 |
20150071561 | REMOVING NOISE FROM AN IMAGE VIA EFFICIENT PATCH DISTANCE COMPUTATIONS - Systems and methods herein provide for reduced computations in image processing and a more efficient way of computing distances between patches in patch-based image denoising. One method is operable within a processing system to remove noise from a digital image by generating a plurality of lookup tables of pixel values based on a plurality of comparisons of the digital image to offsets of the digital image, generating integral images from the lookup tables, and computing distances between patches of pixels in the digital image from the integral images. The method also includes computing weights for the patches of pixels in the digital image based on the computed distances and applying the weights to pixels in the digital image on a patch-by-patch basis to restore values of the pixels. | 03-12-2015 |
20150071562 | IMAGE PROCESSING APPARATUS - An image processing apparatus includes: a first smoothing unit that outputs a first smoothed image by using a first edge-preserving smoothing filter to an input image; a second smoothing unit that outputs a second smoothed image by further using a second edge-preserving smoothing filter to the first smoothed image output by the first smoothing unit; a correction data derivation unit that derives a difference between the first and second smoothed images as correction data; and a correcting unit that corrects the input image based on the correction data. | 03-12-2015 |
20150086127 | METHOD AND IMAGE CAPTURING DEVICE FOR GENERATING ARTIFICIALLY DEFOCUSED BLURRED IMAGE - A method and an image capturing device configured to generate a defocused image from a reference image and one or more of focal bracketed images to provide an artificially defocused blurred image. The artificially defocused blurred image is a fusion image composed by processing the reference image and one or more of focal bracketed images to provide a clear foreground with gradual blurred background based on a created depth map. The method is time efficient as it provides faster processing on a captured and down sampled reference image and one or more captured down sampled aligned focal bracketed images. The depth map created using region based segmentation reduces a misclassification at a time of classifying foreground-background and misclassification of pixels to provide fast, robust artificial blurring of background in the captured reference image. | 03-26-2015 |
20150086128 | METHOD AND APPARATUS FOR FILTERING AN IMAGE - A method and an apparatus for filtering an image using a guided image filter are described. A filter computes a filtering output using a guidance image. For calculating the filtering output confidence values associated to a filter input are taken into account. A confidence-weighted averaging is performed using the confidence values. | 03-26-2015 |
20150098662 | IMAGE PROCESSOR AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An image processor includes: an image group generating unit that generates, from an original image, a group of images including at least one smoothed image; an illumination image generating unit that generates an illumination image by use of at least one of the images included in the group of images; a smoothed image acquiring unit that acquires a particular smoothed image based on the at least one smoothed image; a reflection rate image generating unit that generates a reflection rate image based on the original image, the particular smoothed image, a synthesizing degree information which represents a synthesizing degree of the original image and the particular smoothed image, and the illumination image, and a reproduction image generating unit that generates a reproduction image which is reproduced so that visibility of the original image is enhanced, based on at least the reflection rate image and an enhancing degree information. | 04-09-2015 |
20150104112 | Large Radius Edge-Preserving Low-Pass Filtering - A method of large-radius edge-preserving low-pass filtering a digital signal having data points, including computing a weighted average of a signal layer at vertices spaced a distance apart such that an amount of the vertices is less than an amount of the data points; and producing, for each of the data points, a large-radius edge-preserving low-pass filtered signal based on the weighted average of the signal layer at vertices neighboring the data point. | 04-16-2015 |
20150125089 | SYSTEM AND METHOD FOR ENHANCING THE LEGIBILITY OF DEGRADED IMAGES - Disclosed are embodiments for a system, method, and computer program product for performing an process on an original image, the process being implemented by a computer system performs a comprising the at least one computer: performing an process on an image that renders the processed image legible than then the original image, wherein the analysis segregates dark pixels of the image from light pixels of the image. The method can comprise: first converting the image into a grayscale image. The method comprises processing a pixel area for each pixel of the image is a dark pixel or a light pixel and determining if a pixel is proximate to an edge. | 05-07-2015 |
20150139566 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing device includes a first production part configured to apply a first smoothing process to an original image data by using a first edge-preserving smoothing filter to produce first image data that include a low-frequency image and an edge image, a second production part configured to apply a second smoothing process to a differential image between the original image data and the first image data to produce second image data that include a high-frequency image, and a synthesis part configured to synthesize the first image data and the second image data. | 05-21-2015 |
20150324961 | METHOD AND APPARATUS FOR ADJUSTING IMAGE BRIGHTNESS - Provided are a method and an apparatus for adjusting image brightness. The method includes: acquiring an image to be processed, and acquiring a single-channel brightness image based on grayscales of each channel of the image to be processed; performing Gaussian filtering on the single-channel brightness image to acquire a Gaussian filtered image; adjusting grayscales of the Gaussian filtered image based on the grayscales of the Gaussian filtered image and a preset proportion; comparing the Gaussian filtered image after adjustment with the Gaussian filtered image before adjustment to acquire a grayscale change rate of each pixel through adjustment; processing the image to be processed based on the grayscale change rate of each pixel to acquire a processed image; and outputting the processed image. | 11-12-2015 |
20150371409 | SALIENCY-PRESERVING DISTINCTIVE LOW-FOOTPRINT PHOTOGRAPH AGING EFFECT - Technologies for modifying a digital image to take on the appearance of an antique image. Such modifying is typically based on generating and rendering various effects that are blended with the input image, such as color transformation, simulating film grain, dust, fibers, tears, and vintage borders. Such effects may be rendered to various layers that are overlaid on a color transformed image resulting in what appears to be an antique image. | 12-24-2015 |
20160078601 | IMAGE UPSAMPLING USING LOCAL ADAPTIVE WEIGHTING - Systems and methods are disclosed for performing local adaptive weighting upsampling. An image may be converted into a color space representation. The color space representation of the image may then be divided into the individual color spaces. Upsampling may then be performed on the individual color planes. The upsampling may include resizing the color planes by adding pixels to the color planes. Local processing of the different color spaces may be performed to estimate values for the added pixels. Upon generating the estimated values, the estimated values may be refined by determining which known pixel values from the original image have the highest degree of influence on a newly added pixel. | 03-17-2016 |
20160093032 | METHOD FOR GENERATING IMAGE BOKEH EFFECT AND IMAGE CAPTURING DEVICE - An image capturing device and a method for generating a bokeh effect are provided. The method includes the following steps. An image including a current input pixel is captured. Next, blurring processes are performed on the image by using a first image blur filter and a second image blur filter so as to generate a plurality of first blur images and second blur images corresponding to different blur levels. A distance between the current input pixel and a focal plane is calculated to obtain a current distance. A first current blur image and a second current blur image are respectively selected from the first blur images and the second blur images according to the current distance. Next, a first current blur pixel of the first current blur image and a second current blur pixel of the second current blur image are combined to generate a current output pixel. | 03-31-2016 |
20160110852 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM FOR PERFORMING IMAGE RESTORATION - An image processing apparatus includes a first acquisition unit configured to acquire a captured image captured by an imaging system, a second acquisition unit configured to acquire first image information about a sharpness reduction that occurs in the captured image and is caused by the imaging system, a specifying unit configured to specify a restoration process on the captured image and, a third acquisition unit configured to acquire second image information about a sharpness reduction caused by an image forming system for forming an image on a recording medium, a setting unit configured to, based on the first image information and the second image information, set image restoration information, and a correction unit configured to correct the captured image by a restoration process using the image restoration information, wherein the setting unit sets the image restoration information according to a result of the specifying unit specifying the restoration process. | 04-21-2016 |
20160148350 | IMAGE PROCESSING METHOD, SYSTEM USING THE SAME, AND RECORDING MEDIUM FOR PERFORMING THE SAME - An image processing system includes an a noise detection unit that extracts a local statistical characteristic of a predicted original image according to a local statistical characteristic of an observed image and a local statistical characteristic of a predicted noise image, sets a flag level indicating a distortion state for each of pixels of the observed image according to the local statistical characteristic of the predicted original image, zones the observed image through a filter window, determines distortion states of adjacent pixels, corrects the flag level, and detects noise, and a noise removal unit that adaptively sets a filter size according to the corrected flag level and removes the noise, when the corrected flag level is determined through the noise detection unit, and therefore it is possible to implement adaptive noise detection and removal techniques of a distorted image damaged by noise, and detect a contour to the corresponding pixels into undistorted pixels. | 05-26-2016 |
20160148359 | Fast Computation of a Laplacian Pyramid in a Parallel Computing Environment - A computer-implemented method for calculating a Laplacian pyramid in an image processing system comprising a parallel computing platform includes constructing a first layer of a Gaussian pyramid based on an original image. A plurality of Laplacian pyramid layers are constructed using a plurality of device kernels executing on a graphical processing device included in the parallel computing platform. Each respective Laplacian pyramid layer is constructed by a process which includes using one or more first device kernels to calculate a Gaussian pyramid layer based on a immediately preceding Gaussian pyramid layer and using one or more second device kernels to calculate the respective Laplacian pyramid layer based on the immediately preceding Gaussian pyramid layer in parallel with calculation of the Gaussian pyramid layer. | 05-26-2016 |
20160155216 | METHOD AND APPARATUS FOR IMAGE BLURRING | 06-02-2016 |
20160163026 | SYSTEMS AND METHODS FOR GAUSSIAN FILTER STANDARD DEVIATION VARIATION - Systems and methods for Gaussian filter standard deviation variation. One embodiment of a method includes receiving a load current and a drain voltage associated with a switching converter that includes a Silicon Carbide (SiC) Mosfet transistor, determining a derivative of the drain voltage with respect to time, and calculating a switching loss associated with the switching converter. Some embodiments include predicting electromagnetic interference (EMI), selecting a Gaussian standard deviation from the switching loss, and determining a Gaussian switching voltage reference. Still some embodiments include adjusting a component of the SiC Mosfet transistor, based on the Gaussian standard deviation, and the Gaussian switching voltage reference to provide a desired switching loss. | 06-09-2016 |
20160171665 | SMART IMAGE ENHANCEMENTS | 06-16-2016 |
20160253779 | IMAGE PROCESSING APPARATUS AND METHOD | 09-01-2016 |
20190147574 | IMAGE NOISE REDUCTION BASED ON A MODULATION TRANSFER FUNCTION OF A CAMERA DOME | 05-16-2019 |
20190147628 | IMAGE RECONSTRUCTION SYSTEM, METHOD, AND COMPUTER PROGRAM | 05-16-2019 |