| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 382263000 | Highpass filter (i.e., for sharpening or enhancing details) | 85 |
| 20080199100 | Image Processing Method - An image processing method for removing noise contained in an image includes: inputting an original image constituted with a plurality of pixels; generating a plurality of band-limited images, resolution levels of which are lowered in sequence, by executing a specific type of band pass filter processing on the original image; extracting a high-frequency component from each of the band-limited images by executing high-pass filter processing on the band-limited images; extracting a noise component contained in each of the band-limited images by separating the noise component through nonlinear conversion processing executed on the extracted high-frequency component; and removing the noise in the original image based upon the extracted noise component in each band-limited image. | 08-21-2008 |
| 20080253680 | Determining Relevance Values - A pixel relevance determining unit ( | 10-16-2008 |
| 20080267524 | AUTOMATIC IMAGE ENHANCEMENT - This invention provides a method for automated image enhancement. Attribute measurements are extracted from a digital image and used for the generation of at least a noise threshold parameter, a sharpness parameter and a radicality parameter. The noise threshold parameter and sharpness parameter are evaluated to determine the degree of noise reduction and the degree of sharpening to be performed, collectively a determined enhancement. The determined enhancement is applied to derive a nominally enhanced image. With respect to the radicality parameter, the output image is the weighted average between the initial image and the nominally enhanced image. | 10-30-2008 |
| 20080317372 | Method and apparatus for enhancing image, and image-processing system using the same - Provided is an apparatus and method for enhancing an image by optimizing exposure and grayscale. The apparatus includes a component-extracting unit separating luminance signals and color signals from input image signals; a luminance-enhancing unit enhancing the luminance of the luminance signals; and a contrast-enhancing unit dividing the luminance signal having the enhanced luminance into one or more local areas, and enhancing the contrast of the luminance signal having the enhanced luminance for each local area. | 12-25-2008 |
| 20090028458 | SCALING FILTER FOR VIDEO SHARPENING - A device has a single scaling filter to filter a video signal once to perform both sharpening and scaling. A memory stores original scaling filter coefficients for the scaling filter. An integrated circuit calculates new sharpening-scaling filter coefficients derived from the original scaling filter coefficients and one of sharpening filter coefficients for a sharpening filter and a sharpening strength and applies the new sharpening-scaling filter coefficients to the single scaling filter. | 01-29-2009 |
| 20090034866 | METHOD OF REMOVING BLUR WITHOUT RINGING-ARTIFACT - Provided is an image processing method and apparatus for removing blur in a screen image, including detecting blur in an input image, segmenting the image according to an amount of the detected blur, performing a high pass filtering of the segmented image in a horizontal direction and a vertical direction, detecting corresponding weights by using corresponding coefficients of each direction obtained from filtering; and restoring the image by applying the detected weights to one of: an iterative form or a closed form of an image restoration. | 02-05-2009 |
| 20090060371 | Method for reducing image artifacts - A method for reducing image artifacts in an image that includes a number of pixels each of which includes at least one video information value, includes generating a plurality of filter coefficients for at least some of the pixels of the image, on the basis of which the video information values of the pixels can be reconstructed. Artifact detection is performed to detect artifact regions within the image. At least some filter coefficients of those pixels that lie within the artifact regions are modified to generate modified filter coefficients. The video information values are synthesized using the filter coefficients, the modified filter coefficients being employed for the synthesis for pixels lying within the artifact regions. | 03-05-2009 |
| 20090067741 | ADAPTIVE IMAGE PROCESSING DEVICE AND METHOD THEREOF - An adaptive image processing device is provided. The adaptive image processing device includes an image processing unit, a control unit, and a selection unit. The image processing unit receives an image data, for simultaneously execute a plurality of image processing processes to the image data, so as to obtain a plurality of output values. The control unit is coupled to the image processing unit, for executing at least one image analysis to the image data, and obtaining at least one selection signal. The selection unit receives the output values and selects one from the output values to output according to the selection signal. As such, the adaptive image processing device is adapted for discriminatively processing different pixels according to a result of analyzing image data of the image. | 03-12-2009 |
| 20090067742 | Image restoration apparatus and method - Provided is an image restoration method and apparatus, in which an image is restored by estimating the blur level of the image. The image restoration apparatus includes a block generation module which generates a plurality of overlapping blocks for an input image; a blur estimation module which generates a plurality of unit step responses for a current overlapping block from the overlapping blocks; a feature-map generation module which generates a feature map for the current overlapping block based on the unit step responses of the current overlapping block; and a filter application module which deblurs the current overlapping block by using a deconvolution filter to filter the feature map of the current overlapping block. | 03-12-2009 |
| 20090097772 | Laplacian Principal Components Analysis (LPCA) - Systems and methods perform Laplacian Principal Components Analysis (LPCA). In one implementation, an exemplary system receives multidimensional data and reduces dimensionality of the data by locally optimizing a scatter of each local sample of the data. The optimization includes summing weighted distances between low dimensional representations of the data and a mean. The weights of the distances can be determined by a coding length of each local data sample. The system can globally align the locally optimized weighted scatters of the local samples and provide a global projection matrix. The LPCA improves performance of such applications as face recognition and manifold learning. | 04-16-2009 |
| 20090196524 | System and method for sharpening of digital images - Sharpening of edges in digital images without introducing unwanted artifacts is accomplished by first sharpening the digital image using a conventional sharpening filter. The digital image is separately processed with dilation and erosion operators to respectively grow the spatial extent of bright regions and shrink the spatial extent of bright regions. The sharpened, dilated and eroded images are then combined to produce a sharpened image that preserves the sharpened spatial transitions at the edges while suppressing the local contrast enhancement and any ringing. | 08-06-2009 |
| 20090196525 | Gradation converting device, gradation converting method, and computer program - A gradation converting device that converts gradation of an image includes: a dither unit that applies dither to the image by adding random noise to a pixel value forming the image; and a one-dimensional ΔΣ modulation unit that applies one-dimensional ΔΣ modulation to the image applied with the dither. | 08-06-2009 |
| 20090214131 | SYSTEM AND METHOD FOR MULTI-SCALE SIGMA FILTERING USING QUADRATURE MIRROR FILTERS - A first sigma filtering circuit sigma filters an image to produce a filtered image. An analysis circuit processes the sigma filtered image to produce an approximation part and a detail part. A second sigma filter circuit filters the approximation part to produce a sigma filtered approximation part. Another analysis circuit process the sigma filtered approximation part to produce a second approximation part and a second detail part. A third sigma filter circuit sigma filters the second approximation part to produce a sigma filtered second filtered approximation part. A first synthesizer synthesizes the sigma filtered second filtered approximation part and the second detailed part to produce a first reconstructed image, and a second synthesizer synthesizes the first reconstructed image and the first detail part to produce a final filtered image. | 08-27-2009 |
| 20090238487 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus according to the present invention includes an image acquisition section acquiring a multiple overlapping image in which a subject image is multiplexed, a filtering section filtering the multiple overlapping image acquired by the image acquisition section, a similarity calculation section calculating similarity between overlapping images contained in the multiple overlapping image filtered by the filtering section, and an overlapping image displacement calculation section using the similarity obtained by the similarity calculation section to calculate overlapping image displacement in the multiple overlapping image. | 09-24-2009 |
| 20090257674 | METHOD AND SYSTEM FOR NOISE LEVEL DETECTION IN IMAGE DATA - A system determines the noise level of image data by high pass filtering image data. Absolutes values of the high pass filtered image data are determined. Thereafter, multiple mean values for absolute values less than a predetermined number of threshold values are determined. Based upon the determined mean values, a plurality of estimated mean values is calculated, each estimated mean value being calculated from a combination of two determined mean values. The noise of the image is determined from a combination of the minimum estimated mean value and the maximum estimated mean value. This noise can be optionally used by a sigma filter, at Step S | 10-15-2009 |
| 20090257675 | METHOD AND SYSTEM FOR NOISE LEVEL DETECTION IN IMAGE DATA - A system determines the noise level of image data by high pass filtering image data. Absolutes values of the high pass filtered image data are determined. Thereafter, multiple mean values for absolute values less than a predetermined number of threshold values are determined. Based upon the determined mean values, a plurality of estimated mean values is calculated, each estimated mean value being calculated from a combination of two determined mean values. The noise of the image is determined from a combination of the minimum estimated mean value and the maximum estimated mean value. This noise can be optionally used by a sigma filter, at Step S | 10-15-2009 |
| 20100014771 | APPARATUS FOR IMPROVING SHARPNESS OF IMAGE - Provided is an apparatus for improving the sharpness of an image. The apparatus includes an edge detector, an effective edge judging unit, an effective edge classifying unit, an isolated edge judging unit, and a 2-D HPF applying unit. The edge detector calculates an edge value using brightness relation with neighboring pixels with respect to each of pixels of an input image. The effective edge judging unit determines effective edge pixels. The effective edge classifying unit determines weak edge pixels and strong edge pixels. The isolated edge judging unit judges an isolated edge pixel included in an isolated edge. The 2-D HPF applying unit applies a first 2-D HPF to the weak edge pixels, and applies a second 2-D HPF to the strong edge pixels to generate edge strengthening values. The edge strengthening value applying unit adds the edge strengthening values to brightness values of the respective pixels of the input image. | 01-21-2010 |
| 20100021076 | METHOD, APPARATUS AND INTEGRATED CIRCUIT FOR IMPROVING IMAGE SHARPNESS - In a method, apparatus and integrated circuit for improving image sharpness, the method includes the following steps: (a) labeling each of pixels in an image as one of an edge/texture type and a non-edge/texture type; (b) classifying each of the pixels that are labeled as the edge/texture type into one of a border point type, a transition point type, and a peak point type; and (c) using a shrinking/expanding filter to filter the pixels of the border point type, and subsequently using a high boost filter to first filter the pixels of the peak point type and then filter the pixels of the transition point type to sharpen the image. | 01-28-2010 |
| 20100061649 | METHOD AND APPARATUS FOR REDUCING BLOCK NOISE - Block noises at block boundaries are removed, but when a contour line in the original image matches a block boundary, the degree of block noise removal is adjusted and image quality is improved. An adaptive filter has a step of calculating the weight of pixels near the block boundary by a high-pass filter, and a step of determining an adjusted value for the pixels near the block boundary based on the weight. The pixel values near the block boundary are adjusted and block noises are removed. A low-pass filter is applied to pixels near the block boundary to determine a filtered value. The adjusted values of the pixels near the block boundary are determined by obtaining a weighted sum of the original pixel value and the filtered value. Because the high-pass filter recognizes the definition of pixels near the block boundary, and the low-pass filter reduces the difference between pixels near the block boundary, the adaptive filter outputs the adjusted value, and this value removes block noise while retaining image definition. | 03-11-2010 |
| 20100074549 | IMAGE UPSAMPLING WITH TRAINING IMAGES - Images are upsampled using a knowledge base derived from a plurality of high-quality training images. The knowledge base is used to refine a high-frequency component including high-frequency aspects of a high-resolution, low-frequency image, interpolated from a low-resolution full-frequency image, into a high-frequency component. An enhancement step is performed without using a knowledge base to construct a high-compatibility component from the low-resolution, full-frequency image. The low-resolution, full-frequency image is combined with the coarse high-frequency component to yield an enhanced high-frequency component. A second knowledge base step is performed to construct an improved high-frequency component from the enhanced high-frequency component. The improved high-frequency component is blended with a high-resolution, low-frequency image to yield a high-resolution image. | 03-25-2010 |
| 20100098349 | Image processing device and image display system - The present invention provides an image processing device and an image display system achieving image quality improvement in moving picture by suppressing a motion blur in a hold-type display device, while maintaining low cost. The image processing device processes image data provided from outside and outputting the image data to a hold type display device. The image processing device includes a correction processing section performing a correction process to correct a pixel value in the image data for each pixel through performing a spatial LPF (low pass filter) process on the image data in a frame to be displayed in the display device according to a magnitude of a motion vector in the image data, the spatial LPF process allowing a slope of a changing edge portion in the image data to be more gentle. | 04-22-2010 |
| 20100104212 | CONTOUR CORRECTING DEVICE, CONTOUR CORRECTING METHOD AND VIDEO DISPLAY DEVICE - A contour correcting device of the present invention includes a plurality of delay elements which delay an input video signal, a pixel-selection-control-signal generation circuit, a pixel selection circuit which selects outputs of the plurality of delay elements in response to outputs of the pixel-selection-control-signal generation circuit, a high-pass filter operation circuit which weights and adds or subtracts pixel data selected by the pixel selection circuit, and an adder circuit which adds an operation result of the high-pass filter operation circuit to the input video signal. When the pixel selection circuit extracts a contour component in a boundary portion between a horizontal video effective period and a period other than the horizontal video effective period of the input video signal, the pixel selection circuit replaces pixel data in the period other than the horizontal video effective period among pixel data input to the high-pass filter operation circuit, with pixel data at an edge-point of the horizontal video effective period. | 04-29-2010 |
| 20100142845 | METHOD AND SYSTEM FOR RESTORING A MOTION-BLURRED IMAGE - Embodiments of the present invention disclose a method and system for restoring a motion-blurred image. The method comprises determining parameters for a one-dimensional Optical Transfer Function (OTF) for the motion-blurred image in Fourier space; determining a signal-to-noise ratio for the motion-blurred image in the Fourier space; and correcting for motion blur based on the parameters of the OTF. Determining the parameters comprises calculating a function Φ(p,q) which is based on the square of the modulus of the Fourier transform |G(p,q)| | 06-10-2010 |
| 20100166334 | Method for magnifying images and videos - This invention is a method applicable to an image processing device, which includes the steps of providing a preprocess module for extracting a high-frequency portion of an image inputted into the device, extracting a gradient of the image and decomposing the image into plane and edge regions according to a predetermined fixed threshold, and providing a composite up-scaling module for executing the magnification processes on the image and the high-frequency portion thereof respectively, wherein the magnification process of plane regions of the image and the high-frequency portion is based on a simple interpolation while the edge regions of the image and the high-frequency portion is based on both a smart interpolation and the simple interpolation. The magnification results of the image and the high-frequency portion are then processed by a fusion process, so as to output an image having sharp but not blocky edges, rich details and strong contrast. | 07-01-2010 |
| 20100166335 | FILM GRAIN GENERATION AND ADDITION - High-frequency noise is generated that approximates the appearance of traditional “film grain” for a digital video signal. By adding a relatively small amount of film grain noise, the video can be made to look more natural and more pleasing to the human viewer. The digital film grain generation can be used to mask unnatural smooth artifacts in digital video such as “blockiness” and “contouring” in the case of compressed video and/or used to provide visual enhancements or special effects to any digital video stream. The digital film grain generator can control grain size and the amount of film grain to be added. | 07-01-2010 |
| 20100183238 | Method and Apparatus for Spectrum Estimation - An apparatus and methods are provided for determining control parameters for image enhancement. In one embodiment a method for determining control parameters includes receiving image data for a first frame and calculating an adaptive threshold value based on the image data. The method includes determining a pixel slope distribution for a pixel window of the image data, wherein the pixel window is selected based on the adaptive threshold value and determining a spectrum estimation coefficient based on the pixel distribution, wherein the spectrum estimation coefficient is determined based on the spectral components of the image data. The method may then include determining one or more control parameters for enhancement of the image data based on the spectrum estimation coefficient, wherein the one or more control parameters relate to filtering parameters for adaptive enhancement of image data. | 07-22-2010 |
| 20100183239 | APPARATUS, METHOD, AND PROGRAM FOR IMAGE CORRECTION - To perform image correction according to the features of an input image and output a fine and conspicuous image corresponding to a variety of scenes; an image correcting apparatus detects, from the pixels of the input image, the dark pixels that have the respective pixel values equal to or smaller than a first threshold value. Then, for each dark pixel having the pixel value equal to or smaller than the first threshold value, the image correcting apparatus detects calculates the shading variation between the dark pixel and the corresponding surrounding pixels, calculates a correction amount based on the calculated shading variation, and performs image correction with the calculated correction amount. | 07-22-2010 |
| 20100215285 | METHOD AND DEVICE FOR DETECTING AND CORRECTING SKEWED IMAGE DATA - A skewed image data detecting and correcting device includes a skew angle detecting module, and an image rotating correction module. A skewed image data detecting and correcting method includes the following steps. Firstly, a binary digitizing operation is performed to obtain a binary image data. The binary image data is rotated by multiple different rotating angles, thereby obtaining multiple rotated binary image data. The pixel numbers of all horizontal rows of the rotated binary image data are totalized, thereby obtaining multiple horizontal pixel number distribution curves. A high-pass filtering procedure is performed to filter off low-frequency noise, thereby obtaining multiple high-frequency signal curves. The square sums of respective high-frequency signal curves are calculated, thereby obtaining multiple index values. Afterward, a rotating correction operation is performed on the image data according to the rotating angle corresponding to a maximum of the index values, thereby obtaining a corrected image data. | 08-26-2010 |
| 20100303376 | CIRCUIT AND METHOD FOR PROCESSING IMAGE - A circuit and a method for processing an image are provided. The circuit includes a weighting circuit and a sharpening circuit. The weighting circuit includes at least two adapters and a weight decider. The weighting circuit receives an input image. Each of the adapters respectively generates a weight according to an image property of the input image. The weight decider performs a logical calculation according to the weights generated by the adapters to generate a total weight. The sharpening circuit performs an image sharpening process on the input image according to the total weight to generate an output image. | 12-02-2010 |
| 20110064327 | Image Data Fusion Systems And Methods - Systems and methods for image data fusion include providing first and second sets of image data corresponding to an imaged first and second scene respectively. The scenes at least partially overlap in an overlap region, defining a first collection of overlap image data as part of the first set of image data, and a second collection of overlap image data as part of the second set of image data. The second collection of overlap image data is represented as a plurality of image data subsets such that each of the subsets is based on at least one characteristic of the second collection, and each subset spans the overlap region. A fused set of image data is produced by an image processor, by modifying the first collection of overlap image data based on at least a selected one of, but less than all of, the image data subsets. | 03-17-2011 |
| 20110116728 | EDGE RINGING ARTIFACT SUPPRESSION METHODS AND APPARATUSES - In some embodiments, the present invention relates to methods or suppressing edge ringing in images. For example, in some embodiments a method of processing an image to suppress ringing and broadened edges induced by image correction processing, includes high-pass filtering a first image to obtain a second image, processing said second image including applying non-linear apodization to said second image to obtain a third image, low-pass filtering said first image to obtain a fourth image, and combining the third image and the fourth image to obtain an output image, wherein the output image is characterized by having reduced edge-response sidelobes as compared to the first images. In some embodiments, the present invention relates to devices comprising means and/or modules to suppress edge ringing in images. | 05-19-2011 |
| 20110129166 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An exposure condition when obtaining a sensed image is input. Shake information when obtaining the sensed image is input. A filter to be used to correct a blur of the sensed image is generated based on the exposure condition and a weight value including a non-integer obtained from the shake information. | 06-02-2011 |
| 20110262053 | INFRARED RESOLUTION AND CONTRAST ENHANCEMENT WITH FUSION - The present disclosure relates to a method of improving an IR image comprising capturing a visual image and an IR image of an object, altering a resolution of at least one of said visual image and IR image, high pass filtering said visual image to generate a processed visual image, low pass filtering said IR image to generate a processed IR image, and combining information from said processed visual image and said processed IR image to generate a combined image. | 10-27-2011 |
| 20110311154 | Method and device for enhancing a digital image - The present invention relates to a method and a device for enhancing a digital image comprising samples or pixels. | 12-22-2011 |
| 20110311155 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - This invention provides an image processing apparatus, image processing method, and computer program, which can visually remove low-frequency noise contained in image data. Image data containing low-frequency noise is input from an input terminal ( | 12-22-2011 |
| 20120039544 | IMAGE PROCESSING METHOD FOR SUPPRESSING SPATIO-TEMPORAL COLUMN OR ROW NOISE - An image processing method and to an arrangement for implementing the method. The method includes filtering the original image with a low-pass filter for forming a low-pass filtered image, creating a high-pass filtered image by subtracting the low-pass filtered image from the original image, forming intermediate values from the created high-pass filtered image based on column-wise selection of pixel values in the suppression of column noise and row-wise selection of pixel values in the suppression of row noise, and subtracting formed intermediate values column-by-column and row-by-row from the original image. The arrangement includes a non-linear, one-dimensional digital finite impulse response filter, a computing unit for column-wise or row-wise formation of intermediate values, an image storage unit and a subtraction unit. | 02-16-2012 |
| 20120070098 | Signal Processing Device, Control Method For Signal Processing Device, Control Program, And Computer-Readable Storage Medium Having The Control Program Recorded Therein - A signal processing device first decomposes an input signal into a plurality of frequency components in different frequency ranges, then causes a higher harmonic wave generating section to generate a higher harmonic for each of a part or all of frequency components obtained by removing a frequency component in the lowest frequency range from frequency components obtained by the decomposition, and finally composes (i) the higher harmonic thus generated and (ii) a frequency component for which no higher harmonic has been generated. The higher harmonic wave generating section adds the frequency component and a nonlinear process signal (i) in which positive and negative signs of a frequency component for which the higher harmonic is to be generated are retained and (ii) which broadly monotonically increases nonlinearly with respect to the frequency component when the frequency component is located at least in the vicinity of zero. | 03-22-2012 |
| 20120099801 | Sharpness in Digital Images - A method for enhancing sharpness for a digital image follows this sequence: (a) in a display of a computerized appliance, selecting an image to be enhanced in sharpness; (b) downsizing the selected image by a downsizing algorithm executing on the computerized appliance to produce an image | 04-26-2012 |
| 20120114264 | METHOD FOR IMPROVING IMAGES - A method for producing high-quality photographic images in in low-light conditions and in the absence of large-aperture optics. The method includes, upon photographing, first obtaining a plurality of frames of the image with exposures which either partially overlap in time or with an insignificant pause between them. The best result can be obtained in the case when the pause between the exposures represents less than 1/20 of the overall exposure time. The method further includes separating out the initial images from a group of exposures and filtering the images having the smallest exposure interval using the images having the largest exposure interval. The final image is obtained by combining initial images having different exposure intervals from the same group. | 05-10-2012 |
| 20120170863 | METHOD AND APPARATUS FOR REDUCING NOISE OF DIGITAL IMAGE - There are provided a method and an apparatus for reducing noise in a digital image capable of reducing noise while preventing damage to an edge of a digital image. The apparatus includes: a high pass filtering unit determining an edge region of an input image; a low pass filtering unit performing low pass filtering on a region of the input image determined not to be the edge region by the high pass filtering unit; and a sigma filtering unit performing sigma filtering on the region of the input image determined not to be the edge region by the high pass filtering unit. | 07-05-2012 |
| 20120195521 | ROW NOISE FILTERING - Apparatus and a method for processing image data where row data is received corresponding to a target row of pixels and to one or more reference rows of pixels. A target row average is generated based on the target row data and a reference row average is generated for each of the one or more reference rows based on each reference row's respective row data. A row correction value is generated based on the target row average of the target row and the reference row average of the one or more reference rows. Corrected target row data is generated by applying the row correction value to the target row data. | 08-02-2012 |
| 20120301046 | ADAPTIVE EDGE ENHANCEMENT - In at least one embodiment of the invention, an apparatus for adaptive edge enhancement of a video signal includes a transient improvement module. The transient improvement module is configured to generate a first adjusted pixel value based on a window of pixel values for pixels surrounding a pixel-of-interest initially having an input pixel value. The apparatus includes an adaptive peaking module configured to generate a second adjusted pixel value based on the first adjusted pixel value and the input pixel value. In at least one embodiment of the apparatus, the adaptive peaking module comprises a high-pass filter configured to generate a pixel adjustment based on the first adjusted pixel value. In at least one embodiment of the apparatus, the adaptive peaking module further comprises a gain path configured to apply at least one adaptive gain value to the pixel adjustment to generate an adaptive adjustment value. | 11-29-2012 |
| 20120301047 | IMAGE PROCESSING APPARATUS, DISPLAY APPARATUS PROVIDED WITH SAME, AND IMAGE PROCESSING METHOD - Provided is an image processing apparatus that obtains an effect of improving perceived definition even when an input image signal does not include much of a high range component. The image processing apparatus ( | 11-29-2012 |
| 20120314968 | SIGNAL PROCESSING DEVICE AND CONTROL PROGRAM - A signal processing device ( | 12-13-2012 |
| 20120314969 | IMAGE PROCESSING APPARATUS AND DISPLAY DEVICE INCLUDING THE SAME, AND IMAGE PROCESSING METHOD - An image processing apparatus where noise in a dark region indicated by an input image signal may be reduced and perceived fineness of texture may be enhanced is provided. It includes: a high pass filter ( | 12-13-2012 |
| 20120321214 | IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - Provided is an image processing apparatus including a sharpness improvement feature quantity calculation unit for calculating a sharpness improvement feature quantity of a pixel-of-interest, which is a feature quantity of sharpness improvement of a pixel-of-interest, according to a product-sum operation on pixel values of a plurality of peripheral pixels around a pixel of an input image corresponding to the pixel-of-interest, strengths of band limitation and noise addition, and filter coefficients corresponding to phases of the pixel-of-interest and the peripheral pixels, by designating a pixel of a prediction image as the pixel-of-interest when an image subjected to high image-quality processing is output as the prediction image, and a prediction calculation unit for calculating a prediction value of the pixel-of-interest by calculating a prediction expression defined by a product-sum operation on the sharpness improvement feature quantity and a prediction coefficient pre-obtained by learning. | 12-20-2012 |
| 20130058590 | Detecting Image Detail Level - One aspect of the subject matter described in this specification can be implemented in a method for detecting a detail level of an image including receiving an original image, transforming the original image to generate one or more blurred images, deriving image differences corresponding to ranges of detail frequency of the original image based, at least in part, on the one or more blurred images and the original image, determining, based on the image differences, a detail level value corresponding to the original image, and providing the detail level value to an image management application. | 03-07-2013 |
| 20130084022 | SYSTEMS, METHODS, AND APPARATUS FOR ARTIFACT EVALUATION OF DIGITAL IMAGES - Descriptions are provided of various implementations of an automated tuning process configured to optimize a procedure for post-processing images captured by a camera sensor. | 04-04-2013 |
| 20130108186 | IMAGE PROCESSING METHOD FOR BOUNDARY RESOLUTION ENHANCEMENT | 05-02-2013 |
| 20130121608 | Methods and Apparatus for Procedural Directional Texture Generation - Methods and apparatus for procedural directional texture generation. A procedural directional texture generation method may, for example, be used to design hair or hairstyles. The method may obtain one or more strokes, one or more optional masks, and one or more optional user maps. One or more interpolated orientation maps may be generated from the input. The orientation maps, possibly along with one or more optional user maps, may be used to compute synthetic low-frequency lighting. A noise map may be generated at one or more frequencies and used, along with the interpolated maps, to generate high-frequency lighting. Alternatively, a flow-guided texture synthesis method may be used to generate high-frequency lighting. The low- and high-frequency lighting may then be combined to generate a desired frequency spectrum. Color may be added to the full structure, or alternatively color may be added at an earlier step. | 05-16-2013 |
| 20130195373 | IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD AND IMAGE PROCESSING PROGRAM - Error-function determining means makes use of a blur function serving as a function representing the degree of blurring of a blurred input image and a geometrical-deformation matrix serving as a matrix for restricting an operation to lay out a 2-dimensional code shown by the input image on cells each serving as a configuration unit of the 2-dimensional code in order to determine an error function serving as a function satisfying a relation that, the smaller the error between the input image and an image obtained by adding geometrical deformations and blurs to a recovered image obtained from a recovering process, the more the approach to a result determined in advance. Pixel-value restricting means determines pixel-value restriction information prescribing a restriction condition for a restriction imposed on a predetermined pixel value obtained from discretization of pixel values of the 2-dimensional code to be recovered. Objective-function determining means makes use of the error function and the pixel-value restriction information as a basis for determining an objective function serving as a function satisfying a relation that, the closer the recovered image to the true image, the more the approach to a result determined in advance. Objective-function optimizing means determines a recovered image optimizing the objective function. | 08-01-2013 |
| 20130216153 | METHOD FOR PROCESSING EDGES IN AN IMAGE AND IMAGE PROCESSING APPARATUS - Method and apparatus for processing edges in an image are provided. The method in an embodiment includes the following steps. With respect to a cross-shaped patterned centered at a target pixel of an input image, a first-direction gradient along a first direction and a second-direction gradient along a second direction are calculated. According to the first-direction and second-direction gradients, it is determined whether to compensate the target pixel based on pixel values of a first plurality of pixels along the second direction or pixel values of a second plurality of pixels along the first direction within the cross-shaped pattern, or to output a pixel value of the target pixel. | 08-22-2013 |
| 20130322779 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - An information processing apparatus has a decomposition unit that decomposes an image into multiple frequency component images, a reduction unit that reduces linear noise included in the frequent component images, and a reconstruction unit that reconstructs the frequency component images with reduced linear noise. | 12-05-2013 |
| 20140010472 | Image Sharpening Method and Device - Embodiments of the present invention provide an image sharpening method and device. The method includes performing bilateral filtering processing and difference of Gaussians filtering processing on original image information to obtain first image-layer information and second image-layer information respectively. The first image-layer information is subtracted from the original image information to obtain third image-layer information. Fusion and superimposition processing is performed on the second image-layer information and the third image-layer information to obtain fourth image-layer information. The original image information and the fourth image information are added to obtain processed image information. | 01-09-2014 |
| 20140029866 | IMAGE ENHANCEMENT SYSTEM AND METHOD - An image enhancement system and method include a high-pass filter (HPF) configured to pass high-frequency spatial components of an input image to generate a high-pass image; an adder configured to add the high-pass image to the input image, thereby resulting in an enhanced image; and an over-enhancement detection unit configured to detect tendency of the input image towards overshoot or undershoot. An output of the over-enhancement detection unit is used to prevent overshoot or undershoot in the enhanced image. | 01-30-2014 |
| 20140037226 | IMAGE PROCESSING DEVICE, DISPLAY DEVICE, IMAGE PROCESSING METHOD - An image processing device includes a signal supplementing unit that generates a harmonic signal of a signal of a predetermined frequency band in an image signal, and supplements the image signal with the generated harmonic signal. | 02-06-2014 |
| 20140044376 | SIGNAL PROCESSING DEVICE, CONTROL PROGRAM AND INTEGRATED CIRCUIT - A signal processing device ( | 02-13-2014 |
| 20140133774 | IMAGE PROCESSOR AND IMAGE DEAD PIXEL DETECTION METHOD THEREOF - An image processor is capable of performing an image dead pixel detection method, so as to detect at least one dead pixel in an input image. The image dead pixel detection method includes the following steps. A high-pass filter processing is performed on an input image, so as to obtain a filter image. A global mean value and a global standard difference are obtained according to the filter image. A to-be-detected pixel in the filter image is selected. A local mean value, a local standard difference, and a global mean value difference and a local mean value difference are obtained according to the to-be-detected pixel and multiple neighboring pixels. When the global mean value difference and the global standard difference satisfy a first condition, and the local mean value difference and the local standard difference satisfy a second condition, the to-be-detected pixel is considered as a dead pixel. | 05-15-2014 |
| 20140147056 | DEPTH IMAGE NOISE REMOVAL APPARATUS AND METHOD BASED ON CAMERA POSE - Disclosed are a depth image noise removal apparatus based on a camera pose, which includes: a depth image obtaining unit for obtaining a plurality of depth images; a camera pose converting unit for converting camera poses of the plurality of depth images into a camera pose of a reference depth image; and a depth image filtering unit for filtering the reference depth image by using a weighted average of each pixel of the reference depth image, and a method using this apparatus. | 05-29-2014 |
| 20140153841 | IMAGE PROCESSING DEVICE - According to one embodiment, an image processing device includes a line memory that stores an input image by a plurality of rows; a defect correcting circuit that performs defect correction on the input image based on image data stored in the line memory; a binning circuit that generates a low pass image having a lower spatial frequency than the input image by binning the input image subjected to the defect correction; a frame buffer that stores the low pass image; a filter that generates a high pass image having a higher spatial frequency than the low pass image by filtering the input image subjected to the defect correction; and a mixing circuit that mixes the low pass image with the high pass image. | 06-05-2014 |
| 20140185952 | SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR IMPLEMENTING A SPATIALLY VARYING UNSHARP MASK NOISE REDUCTION FILTER - A system, method, and computer program product for applying a spatially varying unsharp mask noise reduction filter is disclosed. The spatially varying unsharp mask noise reduction filter generates a low-pass filtered image by applying a low-pass filter to a digital image, generates a high-pass filtered image of the digital image, and generates an unsharp masked image based on the low-pass filtered image and the high-pass filtered image. The filter also blends the low-pass filtered image with the unsharp masked image based on a shaping function. | 07-03-2014 |
| 20140185953 | WEIGHTED IMAGE ENHANCEMENT METHOD AND SYSTEM - A weighted image enhancement method includes receiving an original image. The original image includes several original pixels. The original image is sharpened to generate a sharpened image. The sharpened image includes several sharpened pixels. Edge detection is performed with respect to the original image to generate a probability of whether each original pixel is on an edge. An enhancement mode setting is received. A corresponding weight table corresponding to the enhancement mode setting is looked up to obtain a corresponding enhancement weight of each original pixel according to the probability of whether each original pixel is on an edge. A weight calculation is performed utilizing each original pixel and its corresponding sharpened pixel according to its corresponding enhancement weight to generate an enhanced image. The enhanced image is displayed by a display unit. | 07-03-2014 |
| 20140212062 | Detail Preserving Image Transfer Operations - Systems, methods, and computer readable media to approximate edge-preserving transformations with global transfer functions are described. In general, a first transfer function that approximates an edge-preserving operation can be found which, together with an enhancement filter (e.g., dynamic range compression) may be used to generate a global transfer function. Alternatively, a second transfer function may be found that approximates the behavior of the combined first transfer function and enhancement filter. Together the first and second transfer functions may generate a global transfer function. It has been determined that a down-sampled version of an input image may be used to develop the global transfer function. Application of global transfer functions in accordance with this disclosure can generate an output image that exhibits the same overall tonality of the input image without introducing the loss of detail and other artifacts attributable to local processing (e.g., the application of edge-preserving filters). | 07-31-2014 |
| 20140241645 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND MEMORY DEVICE IN WHICH IMAGE PROCESSING PROGRAM IS STORED - Provided is an image processing apparatus including an edge identifying portion that generates an edge image in which an edge is identified at each pixel in an input image; a mask-image generating portion that distinguishes an edge direction at a pixel of interest in the input image, that calculates a difference between pixel values of pixels that are positioned perpendicular to the edge direction and that are positioned symmetrically to each other, with the pixel of interest located at a center thereof, and that generates a mask image in which a pixel value of the pixel of interest is increased as that difference decreases; an enhancement-filter image generating portion that generates an enhancement-filter image by multiplying pixel values of pixels of the edge image by pixel values of the mask image; and a combining portion that generates an output image by combining the input image and the enhancement-filter image. | 08-28-2014 |
| 20140270566 | CREATING DETAILS IN AN IMAGE WITH ADAPTIVE FREQUENCY STRENGTH CONTROLLED TRANSFORM - Input image information is received. A processor device is used for determining enhancement information based on frequency characteristics and edge information of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image. | 09-18-2014 |
| 20140301659 | Panchromatic Sharpening Method of Spectral Image Based on Fusion of Overall Structural Information and Spatial Detail Information - The present invention provides a panchromatic sharpening method of spectral image based on fusion of overall structural information and spatial detail information, comprising: performing brightness linear stretching on a panchromatic image, so as to set the variance of the panchromatic image to be equal to the variance of said spectral image; respectively interpolating N components of the spectral image so as to generate an interpolation image series having the same resolution as that of the panchromatic image; subtracting the interpolation image series from the panchromatic image after said linear stretching to obtain difference images; performing Gauss filtering on the difference images, thereby obtaining difference tendency images; and, respectively subtracting the difference tendency image series from the panchromatic image after said linear stretching, thus obtaining fused images. The method can maintain both spectral fidelity and texture detail fidelity of the fused images, support high computation speed, and has wide applicability. | 10-09-2014 |
| 20140307978 | Method and System for Analog/Digital Image Simplification and Stylization - A computer program product includes instructions for a processor to perform a method of improving image structure and coherence, and/or for simplification/stylization. The method includes inputting the image, by: scanning the image; image capture using a camera; and/or image creation using a computer. Multi-channel images are converted into a single-channel grayscale image, which is separated into a first image component—the high spatial frequencies, and a second component image—the low spatial frequencies. The first and second component images are each formed by filtering to remove frequencies outside of respective upper and lower threshold frequencies. A gain multiplier is applied to the filtered first and second component images to control detail amplification. The first and second component images are each blurred at the respective upper and lower threshold frequencies. An improved stylized composite image results by subtracting the gain multiplied first component image from the gain multiplied second component image. | 10-16-2014 |
| 20140321768 | IMAGE PROCESSING DEVICE FOR REDUCING IMAGE NOISE AND THE METHOD THEREOF - An image processing device for reducing image noise and the method thereof are provided. The method for reducing image noise includes the following steps. A filtering operation is performed on a plurality of pixel values of a first image according to a high-pass (HP) filtering mask, a first default filtering mask and a second default filtering mask to obtain a high-pass filtering image, a first low-pass (LP) image and a second LP image, respectively. A difference between the first and the second LP images is calculated to obtain a LP difference image. A pixel weighting calculation is performed according to the HP image and the LP difference image to obtain a pixel weighting mask corresponding to the first image. The first image is calculated according to the pixel weighting mask and one of the first and the second LP images to obtain a noise reducing image. | 10-30-2014 |
| 20140355903 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - To remove components, such as fog, from a captured image while suppressing a reduction in image quality. An image processing apparatus includes a unit configured to derive parameters for image quality improving processing based on the transmittance of light incident on each pixel of captured image data including a fine particle component and a unit configured to generate corrected image data of the captured image data by performing image quality improving processing to improve image quality of the captured image data using the parameters and removal processing to remove the fine particle component from the captured image data on the captured image data. | 12-04-2014 |
| 20140355904 | IMAGE PROCESSING METHOD FOR DETAIL ENHANCEMENT AND NOISE REDUCTION - One or more embodiments of the invention relate to an image processing system and method for detail enhancement and noise reduction, in which the method includes: (a) an original image is created, (b) an information measure is calculated on the basis of the original image, (c) a weighting measure is calculated on the basis of the information measure, (d) the original image is low-pass filtered with a low-pass filter to form a low-pass filtered image, (e) a high-pass filtered image is calculated by subtracting the low-pass filtered image from the original image, (f) a detail-enhanced and noise-reduced image is obtained by a high-pass image scaled with the weighting measure being added to the low-pass image. One or more embodiments of the invention additionally relate to an image processing device comprising an image recording device, an image processing unit and an image display unit. | 12-04-2014 |
| 20150016743 | ENHANCING PERCEIVED SHARPNESS OF IMAGES - A method of enhancing the perceived sharpness of an image by controlling a spatial interpolation process. A pixel value spatial gradient measure is formed and used to generate a map of modified pixel positions. In this map, the pixel spacing is reduced when the gradient measure is high. By using this map of modified pixel positions to control an otherwise conventional interpolation process, an output image is formed having a perceived sharpness which is greater than that of the unmodified output of the interpolation process. | 01-15-2015 |
| 20150016744 | DIAGNOSTIC ULTRASOUND APPARATUS - In ultrasound images, there are many stationary echoes in the region superficial to the deep region comprising the heart. In the present invention, a HPF processing unit ( | 01-15-2015 |
| 20150023611 | METHOD AND DEVICE FOR GENERATING A SUPER-RESOLUTION VERSION OF A LOW RESOLUTION INPUT DATA STRUCTURE - The invention relates to the improvement of the resolution of regularly sampled multi-dimensional signals, where a single low-resolution signal is available. These methods are generically referred to as example-based super-resolution or single-image super-resolution. The method for super-resolving a single image comprises three stages. First, an interpolation-based up-scaling of the input image is performed, followed by an equivalent low-pass filtering operation on the low-resolution image. The second stage comprises a search for low-frequency matches between an inspected patch in the high-resolution image and patches in a local neighborhood in the low-resolution low-frequency image, including partly overlapping patches, and accumulating the high-frequency contribution obtained from the low-resolution image. The third stage comprises adding the contributions of the low-frequency band of the high-resolution image and the extrapolated high-frequency band. | 01-22-2015 |
| 20150078677 | IMAGE SHARPENING METHOD AND IMAGE PROCESSING DEVICE - An image sharpening method and an image processing device are provided. The method includes: obtaining a plurality of pixels in an image; calculating a first weight of a high pass filter and a second weight of a first filter according to the pixels, and the first filter is a convolution of the high pass filter and a low pass filter; generating a sharpening filter according to the high pass filter, the first weight, the first filter and the second weight; and executing a sharpening operation on the pixels according to the sharpening filter. Accordingly, a sharpened image has better vision effects. | 03-19-2015 |
| 20150086126 | IMAGE PROCESSING METHOD, IMAGE PROCESSING SYSTEM, IMAGE PROCESSING DEVICE, AND IMAGE PROCESSING DEVICE - Disclosed is an image processing method including: generating an initial denoised image with a reduced noise while preserving an edge in an input image; controlling an iterative operation performed based on energy defined in advance based on an initial residual component calculated from the input image and the initial denoised image; and separating the initial denoised image to a skeleton component and a residual component by the controlled iterative operation to generate the skeleton component as an output image. | 03-26-2015 |
| 20150110416 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing device includes a processor and a memory storing instructions causing the processor to: generate a first intermediate image by applying, to an input image, inverse conversion being inverse of conversion corresponding to degrading process of imaging the input image; generating a second intermediate image by adding a frequency component to the input image; generate a weighting factor so that a second residual error between a second image and the input image becomes smaller than a first residual error between a first image and the input image, the first image being obtained by applying the conversion to the second intermediate image, and the second image being obtained by applying the conversion to a composite image obtained by the weighted addition of the first and second intermediate images; and generate the composite image by performing the weighted addition of the first and second intermediate images using the weighting factor. | 04-23-2015 |
| 20150125088 | IMAGE PROCESSING APPARATUS AND IMAGE FINE-TUNING METHOD THEREOF - An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image. | 05-07-2015 |
| 20150310594 | METHOD FOR IMAGING PROCESSING, AND IMAGE PROCESSING DEVICE - The invention relates to an image processing method and device for removing high-frequency fixed pattern noise from a video sequence, wherein a sequence of incoming frames is saved when the relevant scene moves across the detector of a provided camera and a cumulative image of fixed pattern noise is formed from the saved image sequence and wherein an average is formed ( | 10-29-2015 |
| 20150324956 | Medical Thermal Image Processing for Subcutaneous Detection of Veins, Bones and the Like - Medical thermal image processing for vein or other subsurface element detection and related methods is provided. A method for thermal image processing to enhance thermal scene information includes taking an output of an infrared camera and coupling the output to a spatial high pass filter. An output of the spatial high pass filter is then applied to a scene-based noise suppression module. | 11-12-2015 |
| 20150324958 | METHOD FOR SLICED INPAINTING - A method for replacing image data in a destination region that is divided into sub-pieces along one or more cutting paths, which start and end at two different points on the border, and finding replacement data for the sub-pieces. The cutting paths may be determined as a function of the type of image structured at the start and the end points. The cutting paths may also be determined as a function of the area of the sub-pieces and the lengths of the cutting paths. Optionally, the destination region may be determined by a spot detection algorithm. Further optionally, the spot detection algorithm may comprise calculation of a high pass filter, or detection of areas of luminosity and border-to-volume ratios. A method for moving an image element within an image is also provided. | 11-12-2015 |
| 20160005155 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - There is provided an image processing device including an upsampling filter configured to upsample an image of a first layer referred to at a time of decoding of an image of a second layer with a higher space resolution than the first layer, and a control section configured to switch a filter configuration of the upsampling filter for each block of an image. | 01-07-2016 |
| 20160042503 | INFRARED RESOLUTION AND CONTRAST ENHANCEMENT WITH FUSION - The present disclosure relates to combination of images. A method according to an embodiment comprises: receiving a visual image and an infrared (IR) image of a scene and for a portion of said IR image extracting high spatial frequency content from a corresponding portion of said visual image. The method according to the embodiment further comprises combining said extracted high spatial frequency content from said portion of the visual image with said portion of the IR image, to generate a combined image, wherein the contrast and/or resolution in the portion of the IR image is increased compared to the contrast and/or resolution of said received IR image. | 02-11-2016 |
| 20160071244 | METHOD AND SYSTEM FOR IMAGE HAZE REMOVAL BASED ON HYBRID DARK CHANNEL PRIOR - A method and a system for image haze removal are provided. The method includes the following steps: receiving an input hazy image including input pixels; determining a hybrid dark channel for each of the input pixels according to a first minimum dark channel of a corresponding large local patch and a second minimum dark channel of a corresponding small local patch; determining a transmission map for each of the input pixels according to the hybrid dark channel prior, the corresponding hybrid dark channel, and atmospheric light associated with the input hazy image in each color channel; determining a color spectrum adjustment parameter corresponding to each of the color channels; recovering scene radiance for each of the input pixels in each of the color channels according to the corresponding color spectrum adjustment parameter, the transmission map, and the corresponding atmospheric light to produce and output a de-hazed image. | 03-10-2016 |
| 20160125576 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a gain calculation unit that calculates a gain for each of a plurality of pixels of an image signal, respectively, and an addition unit that adds the gain for each pixel to the corresponding pixel of the plurality of pixels of the image signal. The gain calculation unit includes a first order differential operation unit that calculates a first value from first order differential of the image signal for each of the plurality of pixels and second order differential operation unit that calculates a a second value from a second order differential of the image signal for each of the plurality of pixels, and calculates the gains for each pixel based on the first and second values for each pixel. | 05-05-2016 |
| 20160189346 | ELECTRONIC DEVICE, METHOD, AND COMPUTER PROGRAM PRODUCT - According to one embodiment, an electronic device includes circuitry. The circuitry is configured to: receive first image data for displaying a first image that comprises a plurality of regions, modify a first region of the first image by adding at least a high-frequency component based on second image data, the first region of the first image including fewer noise components than a first threshold, and output third image data for displaying the first image that comprises the plurality of regions and the modified first region. | 06-30-2016 |
