| Entries |
| Document | Title | Date |
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| 20080199101 | Image Processing Apparatus and Image Processing Program - [PROBLEM TO BE SOLVED] It is an object of the present invention to provide an image processing apparatus capable of obtaining a sharp image having less noise. | 08-21-2008 |
| 20080205787 | METHODS OF NOISE REDUCTION AND EDGE ENHANCEMENT IN IMAGE PROCESSING - Methods of noise reduction and edge enhancement in image processing. An exemplary method comprises extracting a plurality of pixels from the video signal, evaluating measures of edge existence in a plurality of directions within the extracted pixels, determining a level of variation from the measures of edge existence, mapping the level of variation to a first and second control signal in accordance with a predetermined function, performing noise reduction on the extracted pixels according to the first control signal, and performing edge enhancement on the extracted pixels according to the second control signal. | 08-28-2008 |
| 20080240601 | EDGE MAPPING USING PANCHROMATIC PIXELS - A method of enhancing a full-color image of a scene includes capturing an image of the scene using a two-dimensional sensor array having both color and panchromatic pixels, forming the full-color image in response to the captured color pixels, forming a reference panchromatic image in response to the captured panchromatic pixels, forming an edge map in response to the reference panchromatic image and using the edge map to enhance the full-color image. | 10-02-2008 |
| 20080240602 | EDGE MAPPING INCORPORATING PANCHROMATIC PIXELS - A method of enhancing a full-color image of a scene includes capturing an image of the scene using a two-dimensional sensor array having both color and panchromatic pixels, forming an edge map in response to the panchromatic pixels, forming the full-color image in response to the captured color pixels, and using the edge map to enhance the full-color image. | 10-02-2008 |
| 20080240603 | METHODS AND APPARATUS FOR IMAGE ENHANCEMENT - A method and apparatus of enhancing an image, the method comprising applying at least one multi-scale filter bank to at least a portion of an image to detect at least one edge at different scales, and combining the detected edges with said image to yield an enhanced to at least a portion of the image. | 10-02-2008 |
| 20080247663 | Method and system for rapid matching of video streams - Techniques for managing video stream data and portions of video stream data are disclosed. In particular, the present invention enables the user to match portions of video streams against stored, previously characterized video streams using Canny edge detection filtering coupled with Hu invariant third moments of those edges. According to one aspect of the present invention, the video stream data is encoded with the following technique, which selects specific frames from the video stream, finds the edges of objects within these selected frames using Canny edge detection, separates each edge into a distinct object, calculates Hu invariant third moments for each edge, and stores each edge together with the video stream and frame identification and it's Hu invariant third moments in a database for later comparison. Similar encoding can then be performed for a query video stream to compare against the previously identified video streams stored in the database to identify a unique video stream. It is emphasized that the present invention applies to video stream data but can also be used for imagery data in any other form or taken in any spectrum. | 10-09-2008 |
| 20080260283 | Triangulating Design Data and Encoding Design Intent for Microlithographic Printing - The present disclosure relates to fracturing of polygon data, with one application being microlithography. In particular, it relates to preserving data regarding edges and/or vertices of the original polygons as the polygons are triangulated and even if the results of triangulation are further fractured. | 10-23-2008 |
| 20080260284 | Edge contrast adjustment filter - Disclosed herein is a method that includes a classifier that distinguishes objects based on their color shades. A moving window based operator looks at the color class of the adjacent objects and determines if an adjustment is necessary. If at least one of the objects is the type of interest and the color classes of the objects meet the criteria, then the boundary between the objects is subject to be adjusted. Two adjustment modes are discussed: “adjust-tagging” mode and “adjust-color” mode. In the adjust-tagging mode, a specific tag is sent down to the print engine to force the use of high addressability halftones for the boundary pixels in the darker object. In the adjust-color mode, a color lighter (usually white) than that of the lighter object is assigned to the boundary pixels in the lighter object. The width of the modified pixels along the boundary is configurable. | 10-23-2008 |
| 20080267525 | Soft Edge Smoothness Prior and Application on Alpha Channel Super Resolution - Systems and methods are disclosed for processing a low resolution image by performing a high resolution edge segment extraction on the low resolution image; performing an image super resolution on each edge segment; performing reconstruction constraint reinforcement; and generating a high quality image from the low quality image. | 10-30-2008 |
| 20080285882 | Image Processing Method and Related Apparatus for an Image Processing System - An image processing method for an image processing system for enhancing image quality after a sharpening procedure includes receiving a plurality of original image data, performing the sharpening procedure for the plurality of original image data for generating a plurality of sharpened image data, adjusting the plurality of sharpened image data according to the plurality of original image data, and outputting the plurality of sharpened image data. | 11-20-2008 |
| 20080285883 | Apparatus and method for reducing image noise with edge tracking and computer readable medium stored thereon computer executable instructions for performing the method - A method for reducing image noise with edge tracking comprises receiving input of an object image data for conversion and a size data of a matrix, namely, a conversion area of the image data; calculating a statistical difference value between each pixel of the image data and a pixel adjacent to the pixel in a predetermined direction and calculating edge map data obtained from the calculation in each predetermined direction; and converting an object pixel for conversion of the image data using calculation pixels located in the matrix of the image data, wherein the conversion step outputs main calculation pixels, namely, calculation pixels having a statistical difference value below a predetermined level with a value of the object pixel among the calculation pixels based on the edge map data, and converts the object pixel using a statistical calculation value of the main calculation pixels. | 11-20-2008 |
| 20080292203 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - An image processing apparatus which performs dithering to an input image, includes: an input value storage unit which stores an input value to generate a mask seed value corresponding to a single pixel in a unit area among a plurality of pixels displaying an image, wherein the unit area includes a first line and at least second line; and a seed value generator which generates the mask seed value corresponding to one of pixels in the at least one second line among the pixels of the unit area based on the input value stored in the input value storage unit. | 11-27-2008 |
| 20080292204 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER-READABLE MEDIUM - An image processing apparatus includes a first edge extracting unit and a binarizing unit. The first edge extracting unit extracts an edge of chromatic components of a color image other than brightness components of the color image. The binarizing unit performs an enhancement process and a binarization process for pixels being extracted as the edge by the first edge extracting unit and performs the binarization process for pixels other than the pixels being extracted as the edge based on the brightness components. | 11-27-2008 |
| 20080298712 | IMAGE SHARPENING WITH HALO SUPPRESSION - An image sharpening technique with halo suppression is presented. Generally, one implementation of this technique completely suppresses the haloing effect typically caused by image sharpening by restricting values to within the local minimum and maximum intensities of the unsharpened image. Thus, if the sharpened value is below the local minimum, it is replaced with the local minimum. Similarly, the local maximum is taken if the sharpened value exceeds it. In other implementations of the technique, haloing caused by image sharpening is suppressed but not completely eliminated, thereby producing a subtle haloing effect. | 12-04-2008 |
| 20080298713 | Noise reduction apparatus having edge enhancement function and method thereof - Provided are a noise reduction apparatus having an edge enhancement function and a method thereof, in which edges in an input image can be prevented from being blurred when reducing noise in the input image and a clear output image can be obtained by reducing edge discontinuities. The noise reduction apparatus includes a window setting module which sets a portion of an input image as a window, an edge-information detection module which detects edge information regarding the window, an image processing module which performs an image processing operation on the window, and an output-image generation module which generates an output image by reflecting the edge information into one or more windows obtained by the image processing operation. | 12-04-2008 |
| 20080298714 | Image edge correction apparatus and method - Provided is an image edge correction apparatus and method. The image edge correction apparatus includes an edge information extraction unit extracting edge information of an input image based on luminance change directivity information of the input image and an edge enhancement unit enhancing an edge of the input image by applying different luminance weights to a pixel of interest included in the input image based on the edge information of the input image. Thus, by appropriately enhancing a contour portion of an image while minimizing noise in a plane portion of the image, the sharpness of the image can be improved. | 12-04-2008 |
| 20090010562 | METHOD OF REVISING EDGE REGION AND IMAGE FORMING DEVICE USING THE SAME - A method of revising an edge region and an image forming device using the same. The method of revising an edge region includes detecting edge regions from a half-toned image, and adjusting colors with respect to an edge region where a plurality of colors overlap each other among the detected edge regions in accordance with an existence/nonexistence of a black color in the edge region, while adjusting an edge region of a single color with respect to the edge region where the single color exists. | 01-08-2009 |
| 20090016635 | EDGE-ENHANCEMENT DEVICE AND EDGE-ENHANCEMENT METHOD - An edge-enhancement device for subjecting input image data to edge enhancement so as to generate output image data has an edge-component generator, a weighting processor, and an addition processor. The input image data is obtained from a frame image having a plurality of pixels, and the input image data contains luminance data. The edge-component generator generates an edge component of the input image data. The weighting processor applies a weight according to the value of the luminance data of each pixel to a calculated edge component of each pixel so as to generate a weighted edge component for each pixel. The addition processor adds the weighted edge component of each pixel to the input image data of the pixel so as to generate the output image data. | 01-15-2009 |
| 20090041374 | System and Method for Edge Direction Detection for Spatial Deinterlace - The system for edge direction detection for spatial deinterlace comprises an ignored region detector and an edge direction detection unit. The ignored region detector is configured to receive a first type field of a video frame and to define a search region based on the first type field. The edge direction detection unit is configured to select an edge direction within the search region. The edge direction is associated with an interpolated pixel located on one of a plurality of second type lines of a second type field, where the search region is smaller than the first type field. | 02-12-2009 |
| 20090046942 | Image Display Apparatus and Method, and Program - An image display apparatus, that displays a digital image on a screen for check use, includes: an image data storage unit that stores image data of the digital image; an edge detection unit that detects an edge included in the digital image through analysis of the image data; and an image display unit that displays, when the edge being a detection result has a width wider than a predetermined first threshold width, the digital image in a state that the width of the edge is visible on the check screen. | 02-19-2009 |
| 20090046943 | Image processing method - An image processing method adopted to remove noise present in an image, includes: an image input step in which an original image constituted of a plurality of pixels is input; a multiple-resolution images generation step in which a plurality of band-limited images with resolutions decreasing in sequence are generated by filtering the input original image; a first noise removal step in which virtual noise removal processing is executed individually for each of the band-limited images; a second noise removal step in which actual noise removal processing is executed for the individual band-limited images based upon the band-limited images from which noise has been virtually removed through the first noise removal step; and an image acquisition step in which a noise-free image of the original image is obtained based upon the individual band-limited images from which noise has been actually removed through the second noise removal step, and the virtual noise removal processing executed in the first noise removal step and the actual noise removal processing executed in the second noise removal step are differentiated in correspondence to a frequency band of a band-limited image. | 02-19-2009 |
| 20090052799 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, COMPUTER-READABLE MEDIUM AND COMPUTER DATA SIGNAL - An image processing apparatus includes a first enhancement degree calculation unit and a color contour enhancement unit. The first enhancement degree calculation unit calculates a contour intensity of a color component of an input color image and calculates an enhancement degree for a color contour, based on the contour intensity of the color component. The color contour enhancement unit performs an enhance process for a lightness component of the color image in accordance with the enhancement degree for the color contour calculated by the first enhancement degree calculation unit. | 02-26-2009 |
| 20090060374 | METHOD AND APPARATUS UTILIZING STEP-WISE GAIN CONTROL FOR IMAGE PROCESSING - An apparatus for image processing includes: an edge detection module, for performing an image edge detection for each pixel in an original image data and generating at least one edge detection result for a target pixel in the original image data; a step-wise gain controlling module, coupled to the edge detection module, for determining at least one gain coefficient of the target pixel according to the edge detection result; and a calculation module, coupled to the step-wise gain controlling module, for adjusting an original gray value of the target pixel to generate an output gray value of the target pixel according to the gain coefficient. | 03-05-2009 |
| 20090060375 | METHOD AND APPARATUS FOR DETECTING AND REMOVING FALSE CONTOUR, METHOD AND APPARATUS FOR VERIFYING WHETHER PIXEL IS INCLUDED IN CONTOUR, AND METHOD AND APPARATUS FOR CALCULATING SIMPLICITY - A method and an apparatus for detecting and removing a false contour, a method and an apparatus for verifying whether a pixel is included in a contour, and a method and an apparatus for calculating simplicity are provided. The method for detecting and removing the false contour includes: verifying whether a pixel of an input video is included in a contour; calculating simplicity of the pixel; determining whether the pixel is included in a false contour based on the simplicity and based on whether the pixel is included in the contour; and removing the false contour from the input video via smoothing with respect to the false contour. | 03-05-2009 |
| 20090074321 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus according to the invention includes a peculiarity detector which detects a peculiarity and forcedly changes a flag as a base of filter selection; and a line adjustment processing selection table | 03-19-2009 |
| 20090080791 | Image generation method, device, and image synthesis equipment - An image generation method, image generation device, and image synthesis device include generating at least two images at different exposure times. Intensities of pixels in the images at different exposure times are respectively obtained. Reliabilities of the pixels in the images at different exposure times are respectively obtained. The intensities of the corresponding pixels in the images at different exposure times are respectively multiplied by the corresponding reliabilities, and then the products are summed, so as to obtain intensities of pixels in a synthesized image and thus generate the synthesized image. By using the technical schemes of the present disclosure, an image with abundant details can be generated in real time. | 03-26-2009 |
| 20090087120 | APPARATUS AND METHOD FOR GENERATING A DETAIL-ENHANCED UPSCALED IMAGE - An upscaler is disclosed that upscales each of a maximum value map, a minimum value map and an average value map to a destination resolution. A blending module generates a detail-enhanced upscaled image of the source image having the destination resolution by blending corresponding pixel values from an upscaled image of the source image with at least one of: the upscaled maximum value map and the upscaled minimum value map. The blending may be based on the strength of detected edges in the source image and further based on a comparison of each pixel value in the upscaled image with a corresponding pixel value in an average value map. A source image characteristic calculator may generate the maximum value map, the minimum value map and the average value map based on the intensity values of a source image. | 04-02-2009 |
| 20090087121 | METHOD AND APPARATUS FOR ENHANCING DETAIL BASED ON NOISE ELIMINATION, AND METHOD AND APPARATUS FOR CALCULATING NOISE WEIGHT - A method to enhance detail of an image based on noise elimination includes calculating a noise weight corresponding to a probability that a center pixel, located in a block of pixels of a region of the image, is noise by using a difference between the center pixel and a surrounding pixel located in the block of pixels, calculating a first substitution value for the center pixel based on the noise weight; and calculating a second substitution value for the center pixel by using the noise weight and a sharpen filter. | 04-02-2009 |
| 20090097774 | Aspect ratio enhancement - An adaptive compensation system for aspect ratio conversion. Video information, intended for her first aspect ratio display, e.g. the standard NTSC aspect ratio, is processed to determine additional information that can enable that video to be displayed and fill a wider aspect ratio screen. The processing can be a calculation which calculates, for example, texture, color and/or brightness of the edge portions, and automatically calculates video information to match the texture, brightness or color. The processing can be a database lookup, which automatically looks up likely portions from a database. The processing can also be an adaptive determination of what vertical portions of the image can be stretched without affecting the viewability, and then an adaptive stretching of different portions by different amounts. | 04-16-2009 |
| 20090116763 | BLOCK-BASED IMAGE RESTORATION SYSTEM AND METHOD - A block-based image restoration system and method is provided. The image restoration system, including: an edge processing unit to perform a color shifting in an edge of an image and process the edge of the image; a restoration parameter extraction unit to segment the image into at least one domain and extract a restoration parameter for each block included in the segmented domain; and an image restoration unit to apply a block-based transform domain filtering according to the restoration parameter and perform an image restoration. | 05-07-2009 |
| 20090141999 | Method of Image Edge Enhancement - A method of image edge enhancement comprises: determining the edge trend for an image in accordance with the second order gradient value of a center pixel in different directions; performing interpolation operation with the center pixel; calculating absent color component of pixels; performing edge enhancement for the image in the interpolation module in accordance with original color component of the center pixel and the image edge trend based on the Bayer data. The image edge enhancement process takes into account the influence of the green component values of different pixels surrounding the center pixel, and adopts a noise-resistant, self-adaptive edge enhancement algorithm, to suppress noise on the image edge. Thus, the resulting image has a clear image edge. In addition, the fact that the process performs image edge enhancement in the interpolation module based on the Bayer data can significantly reduce the consumption of memory space. | 06-04-2009 |
| 20090148062 | SYSTEM AND METHOD FOR DETECTING EDGES IN A VIDEO SIGNAL - A system and method for processing a digital video signal corresponding to an image are provided. A plurality of independent edge detecting processes or edge detector modules detect a set of edges and at least one additional edge that is not included in the set of edges. An edge map includes data regarding all edges identified by any edge detecting process or module, and a visually perceptible artifact of the image is altered based at least in part on an evaluation of the edge map. The system and method detects and filters block artifacts and ringing or other noise from digital images, resulting in reduced image distortion. | 06-11-2009 |
| 20090148063 | Edge generation method, edge generation device, medium recording edge generation program, and image processing method - A direction of an intended edge is determined, and a position of the intended edge is corrected to a position that brings a direction that connects a position of the intended edge and a position of an adjacent edge closer to the determined direction of the intended edge, and edge information representative of an area of the edge of an enlarged image is generated by using the corrected position of the edge. Gradation data before and after filtering are synthesized at a rate corresponding to a feature quantity representative of the amount of pixels within a predetermined color area. The gradation data of the plural pixels within a predetermined region including the position of the intended edge to be sharpened among the interpolated gradation data of the respective pixels on the interpolated image is sharpened at a degree corresponding to the number of pixels of the uninterpolated image. | 06-11-2009 |
| 20090154829 | METHOD AND APPARATUS FOR EDGE ENHANCEMENT CONSIDERING SINGULAR POINTS - A method of and apparatus for edge enhancement considering singular points are provided. The method of edge enhancement includes: determining a first gain from the input image; detecting a singular point distinguishable from an edge from among pixels of the input image; based on the detection result of singular points, determining a second gain for edge enhancement processing; and multiplying the first gain by the second gain to generate a resulting edge-enhanced image. | 06-18-2009 |
| 20090154830 | IMAGE INTERPOLATION APPARATUS AND METHOD - The present invention is an interpolation device and method. According to the present invention, a plurality of pixels close to a pixel to be interpolated are sequentially set to a central pixel. When a pixel difference closest to a threshold value among pixel differences between the central pixel and a plurality of pixels around the central pixel belongs to a quasi-edge decision range, an edge interpolation and a bilinear interpolation are mixed to interpolate the pixel to be interpolated. As a result, it is possible to prevent reduction in image quality due to an edge verdict caused by unstable input image signal and perform a stable interpolation operation. | 06-18-2009 |
| 20090180705 | Method and system for image restoration using frequency-based image model - A method and system of restoring an image using a frequency-based image model is provided. A method of restoring an image using a frequency-based image model, the method including: transforming an original image into a frequency domain and generating a transformation image; copying the transformation image in any one domain of domains in which the original image is extended and which are divided into blocks; and inferring a high frequency component of block domains, and restoring the block using the transformation image copied in the any one domain. | 07-16-2009 |
| 20090180706 | System for applying multi-direction and multi-slope region detection to image edge enhancement - A system for applying multi-direction and multi-slope region detection to image edge enhancement is provided to perform the image edge enhancement on an image. For pixel (i) indicating i-th pixel of line of the image, a line buffer temporarily stores the pixel (i) and its neighboring pixels. A region classification device classifies the pixel (i) into a region type. A left flat pixel detector depends on the region type to search the neighboring pixels of the pixel (i) for a left flat region pixel. A right flat pixel detector depends on the region type to search the neighboring pixels of the pixel (i) for a right flat region pixel. An edge enhancer performs an edge enhancement operation on the pixel (i) and neighboring pixels when the pixel (i) is an extended region and the left and the right flat region pixels are included in the neighboring pixels. | 07-16-2009 |
| 20090180707 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus and an image processing method. The image processing apparatus includes a first convolution unit, a weight generator, a second convolution unit, an arithmetic unit and an outputting unit. The first convolution unit performs a convolution to output edge strength according to an original image signal and a high pass filter mask. The weight generator chooses a weight coefficient according to the edge strength. The second convolution unit performs a convolution to output an unsharp image signal according to the original image signal and a low pass filter mask. The arithmetic unit outputs a first sharpening signal according to the original image signal, the unsharp image signal and the weight coefficient. The outputting unit outputs a processed image signal according to the original image signal and the first sharpening signal. | 07-16-2009 |
| 20090185757 | APPARATUS AND METHOD FOR IMMERSION GENERATION - An apparatus and method of generating an immersion is provided. The apparatus for generating the immersion includes: a foreground/background separation unit to separate an input image into a foreground area and a background area using lightness information of the input image; an edge classification unit to classify the foreground area into an edge area and a non-edge area using the lightness information; a detail enhancement unit to enhance detail of the edge area of the foreground area; and a blurring performing unit to perform blurring of the non-edge area and the background area. | 07-23-2009 |
| 20090208130 | IMAGE PROCESSING APPARATUS, METHOD AND RECORDING MEDIUM - An image processing apparatus specifies an evaluation-target area that tends to produce distortion in an object contained in an image, and calculates amount of distortion produced in vectorization of the object by comparing the shape of the object and the shape of a vectorized object obtained by vectorizing the object in the specified evaluation-target area. The apparatus further revises the shape of the vectorized object in the evaluation-target area so as to approach the shape of the object when the amount of distortion is larger than a predetermined reference value. | 08-20-2009 |
| 20090214132 | PIXEL INTERPOLATION APPARATUS AND METHOD - In a pixel interpolation apparatus for interpolating pixels, an edge pixel detection unit detects edge pixels constituting an edge among pixels on lines positioned above/below the interpolation pixel. A continuous edge detection unit detects edge pixels in which two pixels or more consecutively line up among edge pixels detected by the edge pixel detection unit as a continuous edge. A continuous edge pair detection unit determines the combination of the continuous edges detected on each of the lines above and below the interpolation pixel among the continuous edges detected by the continuous edge detection unit. An edge direction determination unit determines the edge direction of the interpolation pixel on the basis of the positional relation of one set of continuous edges determined by the continuous edge pair detection unit. An interpolation pixel calculation unit calculates an interpolation pixel using the edge direction determined by the edge direction determination unit. | 08-27-2009 |
| 20090232410 | MR METHOD FOR SPATIALLY-RESOLVED DETERMINATION OF RELAXATION PARAMETERS - The invention relates to an MR method for spatially resolved determination of relaxation parameters in an examination zone, comprising the steps: a. acquisition, by means of a first sequence, of MR data sets for a plurality of MR images having different echo times, b. acquisition, by means of a second sequence, of at least one further MR data set for at least one further MR image having an enhanced spatial resolution and reduced time resolution in comparison with the MR images of the first sequence, c. generation of MR combination images using an MR data set derived from the first sequence for a portion within the k-space and the MR data of a further MR data set acquired outside this portion by means of the second sequence, d. derivation of relaxation parameters from the MR combination images. | 09-17-2009 |
| 20090238489 | EDGE TRANSITION DETECTION IN A HIGH-ADDRESSABLE ERROR DIFFUSION ENVIRONMENT - What is disclosed is a novel system and method for edge transition detection when improve print quality when rendering via high-addressable vector error diffusion in an image processing environment. In order to detect an “ideal” edge and compensate for the adverse effects described in the background hereof, local pixels are detected and local gradient values are calculated and compared against an adjustable threshold to determine the interpolation method needed for that particular pixel. A nearest neighbor interpolation is performed when a local gradient exceeds a predetermined threshold. For example, if the difference between two successive pixels is greater than “200”, nearest-neighbor interpolation is used to calculate the intermediate sub-pixel level(s). Otherwise linear interpolation is used. Dynamically switching between these two interpolation schemes significantly improves the integrity and sharpness of the edges. There is no loss of error information distributed to downstream pixels thereby preserving the gray integrity of the input. | 09-24-2009 |
| 20090245680 | System and method for illumination invariant image segmentation - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file, identifying a boundary in the image, calculating a representation of the boundary extending to segments of the image at either side of the boundary, performing feature calculations on the representation and classifying the boundary as caused by a material change, as a function of the feature calculations. | 10-01-2009 |
| 20090274386 | METHODS AND APPARATUS FOR IMAGE RESTORATION - Methods and apparatus for restoration of a digital image. In one embodiment, a method for repairing a defect in a digital image to provide a restored image comprises determining a plurality of pixel locations to form a neighborhood relating to the defect and whether or not the neighborhood has a well-defined, dark border along its edge. Should the neighborhood not have dark border, one embodiment of the method entails processing the neighborhood to bring the neighborhood approximately to uniform darkness, processing the neighborhood to match surroundings in the digital image, copying an edge of a neighborhood in the digital image into the processed neighborhood, processing pixels of the edge to repair the copied edge pixels, and outputting the restored image for display to a user. Should the neighborhood have a dark, well-defined border, one embodiment of the method entails processing the neighborhood as to locally enhance the neighborhood and match its surroundings in the digital image; processing the neighborhood's edge such that the edge also matches its surroundings in both the defect and the digital image; processing the neighborhood to invert its pixel values and then perform the last two steps once again; processing the neighborhood to increase its contrast and then perform the last three steps once again; processing the neighborhood to bring the neighborhood to a more uniform darkness; processing the uniform darkness neighborhood to match surroundings in the digital image; and outputting the restored image for display to a user. | 11-05-2009 |
| 20090290809 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - A motion vector calculation unit | 11-26-2009 |
| 20090310881 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS - An image processing method includes the steps of: reading an original placed on an original platen; executing a filtering process to extract a contour on the read image; extracting a contour group in broken lines from the image having the filtering process executed; forming one contour from the contour group in broken lines; determining an area of the original from the contours obtained in the filtering execution step and the forming step; and extracting an image of the determined original area from the read image. | 12-17-2009 |
| 20100002951 | METHOD AND APPARATUS FOR REDUCING RINGING ARTIFACTS - A method and apparatus for ringing artifacts reduction for compressed video signals. The method includes receiving luma data to the digital signal processor, calculating sum of gradient of the luma data; calculating SAD of the luma data; performing pixel classification based of the calculated SAD and sum of gradient, performing erosion on a detected edge pixel indicator on a detected flat pixel indicators, determining at least one of the strength or weakness of the an edge based on the determined edge erosion, performing horizontal dilation on the detected edge pixel indicators and edge strength; and performing at least one of sigma or bilateral filtering to the luma data according to the detected edge pixel indicator, flat pixel indicator, edge strength, the number of very flat pixel in the block. | 01-07-2010 |
| 20100002952 | METHOD AND APPARATUS FOR IMAGE SHARPENING - A method and apparatus for image enhancement. The method includes measuring local activity of at least a portion of the image, utilizing the measured local activity for determining gradient at least a portion of the image, utilizing the determined gradient to enhance edges in at least a portion of the image, and utilizing the measured local activity of at least a portion of the image to limit edge enhancement intensity value range and to prevent halo in at least a portion of the image. | 01-07-2010 |
| 20100008596 | Resolution Conversion Method - Disclosed is a resolution conversion method, which makes it possible not only to acquire a diagonal edge that is smoothed without causing any unevenness all over the image, but also to stably reproduce a thin line having a thickness corresponding to its original thickness, irrespective of an integer multiple or a non-integer multiple of the magnification factor to be employed for enlarging an original image, when the high-resolution conversion processing is applied to a binary image represented in the dot-matrix format. An operation for integrating the interpolation value with respect to the area of the input pixel is implemented after the output pixel area is shifted in a horizontal direction and/or a vertical direction so as to make the output pixel area depart from a center of the interpolation area, when the output pixel area is included in a single interpolation area in the horizontal direction and/or a vertical direction. | 01-14-2010 |
| 20100014773 | VISUAL PROCESSING APPARATUS, VISUAL PROCESSING METHOD, PROGRAM, RECORDING MEDIUM, DISPLAY, AND INTEGRATED CIRCUIT - It is possible to inhibit side effects even when an image that has sharp edge regions has been input. The invention is provided with a spatial processing portion ( | 01-21-2010 |
| 20100014774 | Methods and Systems for Content-Boundary Detection - Aspects of the present invention are related to systems and methods for automatically determining the content boundaries in a digital image. | 01-21-2010 |
| 20100040305 | Method of revising edges of image - A method of revising edges of an image includes sampling a widow of a square shape from an input image; classifying the input image into a homogeneous area and a heterogeneous area; determining a maximum window for the homogeneous area and a minimum window for the heterogeneous area; performing a first noise filtering process for the maximum window; determining a minimum variance area from the minimum window; and performing a second noise filtering process for the minimum variance area. | 02-18-2010 |
| 20100080485 | Depth-Based Image Enhancement - A depth-based image enhancement system is disclosed. A depth estimation unit generates three-dimensional (3D) depth information from a two-dimensional (2D) image. Subsequently, an image enhancement unit enhances the 2D image according to the 3D depth information. | 04-01-2010 |
| 20100080486 | Systems and methods for optimization of pixel-processing algorithms - Methods consistent with some embodiments presented provide methods for identifying at least one pixel in a raster image buffer for inclusion in a processing space. In some embodiments of methods identifying at least one pixel in a raster image buffer for inclusion in a processing space may include analyzing a tag-field associated with the at least one pixel. The tag-field may identify object types associated with the pixel. In some embodiments, an action directive may be assigned to the pixel based on the value of the tag-field. In some embodiments, the pixel may be included in a processing space based on the action directive. | 04-01-2010 |
| 20100080487 | BLIND RESTORATION OF IMAGES DEGRADED BY ISOTROPIC BLUR - A system and a method for automatic restoration of isotropic degradations of a digital image, based on receiving a blurred image by an image capture assembly, automatically finding proper step edge, calculating the PSF from the step edge, and restoring the blurred image by means of a processor, and with the option to display the resorted image by means of an output assembly. | 04-01-2010 |
| 20100098351 | SEGMENTATION FOR THREE-LAYER MIXED RASTER CONTENT IMAGES - A method for improving image quality of edge pixels, when separating an image signal into a set of image planes is provided. The method includes searching for a minimum value and a maximum value within at least one predefined neighborhood pixel window centered on a current pixel in the image signal; and conditionally switching the edge pixels to either the minimum value or the maximum value in the foreground and background planes respectively, or to a value of a specified characteristic of the current pixel, based on predetermined criteria. One such predetermined criteria for this conditional switching of the edge pixels comprises comparing the minimum or maximum luminance values in the predefined neighborhood window of the current pixel and their corresponding chrominance values to some predetermined thresholds which are characteristic of the image for the foreground and background planes, respectively. | 04-22-2010 |
| 20100129003 | METHOD AND SYSTEM FOR ENHANCING IMAGES USING MULTI-RESOLUTION HISTOGRAM SHAPING - A method for enhancing an image is provided. The method generates a plurality of Gaussian images from the image, and generates a first plurality of Laplacian images from the generated Gaussian images, the plurality of Laplacian images constituting a Laplacian pyramid of images. The method generates a histogram for each of the plurality of Laplacian images, and shapes each of the generated histograms using a predetermined probability density function to produce a second plurality of Laplacian images. The method further combines iteratively each of the second Laplacian images with each of the plurality of Gaussian images expanded at each iteration to generate an enhanced image. | 05-27-2010 |
| 20100135593 | INFORMATION PROCESSING APPARATUS AND RESOLUTION ENHANCEMENT PROCESSING CONTROL PROGRAM - According to one embodiment, an information processing apparatus includes an image quality improvement processing module which applies first image quality improvement processing for image quality enhancement to each of corresponding pixels in the temporary high-resolution image corresponding to a region other than the flat part region, and applies second image quality improvement processing for sharpening to each of corresponding pixels in the temporary high-resolution image corresponding to an edge region which is not located on the texture region. The apparatus further includes a controller which controls at least one of the texture determination reference value applied to the detecting the texture region and the flat part determination reference value applied to the detecting the flat part region based on a predetermined rule. | 06-03-2010 |
| 20100150468 | Selective Local Transient Improvement and Peaking for Video Sharpness Enhancement - A method of selectively sharpening an image may include, for at least some pixels in the image, determining a frequency content associated with a pixel value in the image. The pixel may be linearly sharpened if the frequency content exceeds a threshold. The pixel may be non-linearly sharpened if the frequency content does not exceed the threshold. In some implementations, the non-linear sharpening may include wavelet decomposition of the image and enhancement of decomposed components. | 06-17-2010 |
| 20100150469 | Registration of Separations - Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. | 06-17-2010 |
| 20100158406 | METHOD FOR RESTORING TRANSPORT ERROR INCLUDED IN IMAGE AND APPARATUS THEREOF - In an image transmission error restoring method and an apparatus using the same, a received image frame is divided into a plurality of blocks and each block is divided through a multi-resolution process. After the multi-resolution process, an error-occurred region is searched and the searched error-occurred region is recovered based on information selected from among global pixel information and local pixel information according to complexity of each block. | 06-24-2010 |
| 20100189373 | Method and Apparatus for Content Adaptive Sharpness Enhancement - A method and apparatus are provided for adaptive sharpness enhancement of image data. In on embodiment, a method for sharpness enhancement includes receiving image data for a first frame, performing linear sharpening enhancement of the image data, performing non-linear sharpening enhancement of the image data, and generating blending parameters based on the image data. The blending parameters may be generated based upon image data of the first frame, linear sharpened image data for the first frame, and non-linear sharpened image data for the first frame. The method may further include blending the image data of the first frame, the linear sharpened image data, and the non-linear sharpened image data based upon the blending parameters. | 07-29-2010 |
| 20100189374 | IMAGE PROCESSOR AND PROGRAM - An object is to provide an image processor for improving the preservability in an edge portion while effectively removing isolated points. Included are an edge judgment section that judges whether an edge exists in a predetermined region specified by a pixel of interest and surrounding pixels of the pixel of interest; a difference calculation section that calculates differences in pixel value between the pixel of interest and the surrounding pixels in the predetermined region; a weight coefficient calculation section that calculates weight coefficients for the respective surrounding pixels from the differences calculated by the difference calculation section, according to a judgment result of the edge judgment section; a weighted averaging section that calculates a weighted average value of the surrounding pixels by using the weight coefficients calculated by the weight coefficient calculation section; and a correction section that corrects the pixel value of the pixel of interest at least one time based on the weighted average value of the surrounding pixels calculated by the weighted averaging section, the pixel value of the pixel of interest, and the judgment result of the edge judgment section. | 07-29-2010 |
| 20100195928 | Method and system for displaying images - A method and system for displaying images are disclosed. In one embodiment, the method includes incorporating a plurality of related images into an image boundary, applying the image boundary to border at least one key image, and displaying the at least one key image and the image boundary in a display area. | 08-05-2010 |
| 20100260434 | INTERPOLATION METHOD AND INTERPOLATION CIRCUIT - An interpolation method and an interpolation circuit are provided. The interpolation method calculates a difference between values of a first point and a second point and calculates an absolute value of the difference. Then, the absolute value of the difference is used to mix a first function and a second function to obtain a transformation function, which is then used to calculate an interpolation value of an interpolation point between the first point and the second point. Accordingly, the present invention may obtain a result close to high order interpolation without increasing hardware expense. | 10-14-2010 |
| 20100260435 | Edge Directed Image Processing - Information is accessed, which relates to an edge feature of an input video image at an input resolution value. The information relates multiple input image pixels to the edge feature, which has a profile characteristic. The information includes, for input pixels that form a component of the edge feature, an angle value corresponding thereto. An output image is registered, at an output resolution value, to the input image. Based on the registration, the edge feature related information is associated with output pixels. The associated information designates at least some of the output pixels as registered with the input image edge feature and the corresponding edge angle value. Edge component input pixels are selected based on the edge angle value. The selected edge component input pixels are processed, which deters deterioration of the profile characteristic of the edge feature in the output image. | 10-14-2010 |
| 20100260436 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus for automatically improving the contrast of an input image that is obtained from a digital camera or the like, and obtaining a sharper and clearing image. A contrast improvement unit ( | 10-14-2010 |
| 20100296750 | RENDERING METHOD OF AN EDGE OF A GRAPHICS PRIMITIVE - A method for rendering an edge of a graphics primitive to be displayed on a screen. Such edge has an inclination relative to a reference direction of the screen. The method includes the steps of: calculating, based on the inclination of the edge, an error coefficient representative of the distance of the edge from a center of a pixel of the screen; and associating a transparency coefficient to the pixel, based on the calculated error coefficient. | 11-25-2010 |
| 20100303378 | EDGE PARAMETER COMPUTING METHOD FOR IMAGE AND IMAGE NOISE OMITTING METHOD UTILIZING THE EDGE PARAMETER COMPUTING METHOD - An edge parameter computing method for an image, wherein the image includes a plurality of pixels forming a Bayer pattern. The edge parameter computing method comprises: (a) computing an average grey level of at least one specific type pixels in a specific region of the image; (b) computing each grey level difference value between the average grey level and the specific type pixels in the specific region to generate a plurality of grey level difference values; (c) finding a specific pixel with a maximum grey level difference value according to the grey level difference values; and (d) computing a ratio value between the average grey level and the maximum grey level difference value as the edge parameter. | 12-02-2010 |
| 20100322531 | Image Processing Method and Associated Apparatus - An image processing apparatus and an associated method capable of effectively reducing image artifact at an edge of an image without excessively compromising overall system performance. The method includes calculating an intersection point of an edge of the image and a pixel scan line, estimating a relative ratio of the image within a pixel block corresponding to the intersection point to generate an adjustment parameter, and adjusting a pixel value of the pixel block according to adjustment parameter. | 12-23-2010 |
| 20100329584 | Image processing device, image processing method and non-transitory computer readable medium recording image processing program - A first exemplary aspect of the present invention is an image processing device that executes image processing including first image processing and second image processing by using a pipeline mechanism, the image processing device including: a first processing unit that executes the first image processing on an input image data, generates history information recording specifics of processing executed in the first image processing, and outputs the history information to the first processing unit; and a second processing unit that executes the second image processing on the image data obtained in the first image processing according to the output history information. | 12-30-2010 |
| 20110002555 | DOMINANT GRADIENT METHOD FOR FINDING FOCUSED OBJECTS - The dominant gradient method for finding focused objects determines focused objects within an image or video frame using a dominant gradient method. The method also uses a segmentation map of the image to determine parameters which are used in ranking the objects based on their focus. The ranking of the objects is able to be used to assist in enhancing the image, encoding the image and adjusting the lens while capturing the image. | 01-06-2011 |
| 20110064328 | IMAGE PROCESSING APPARATUS, SYSTEM, METHOD AND PROGRAM STORAGE MEDIUM - A determination image generator of an image processing apparatus compares, in pixel units, sixth image data with seventh image data or second image data. The sixth image data is obtained by selecting, in pixel units, a minimum value of a value of first image data and a value of fifth image data which is edge enhanced data of the first image data. The seventh image data is obtained by performing first processing to second image data. The generator sets in the determination image a third value for pixels where a value of the sixth image data is equal to or less than a value of the seventh image data or the second image data, or is equal to or less than a sum of the value of the seventh image data or the second image data and a first value, and sets a different value for all other pixels. | 03-17-2011 |
| 20110091126 | Method For Improving Digital Images And An Image Sensor For Sensing The Same - A method for sensing an optical image and producing an improved image signal, includes the steps of: supplying a first signal to a first plurality of nodes, the nodes residing in an integrated circuit substrate; producing a second signal at a second plurality of nodes residing in the integrated circuit substrate, the first plurality of nodes substantially corresponding to the second plurality of nodes, wherein the step of producing the second signal includes: imposing a smoothness constraint on the second signal restricting a signal difference between the nodes of the second signal, the smoothness constraint imposed with a plurality of horizontal electronic element; imposing a closeness constraint on the second signal, thereby restricting a signal difference between the corresponding nodes in the first signal and the second signal, the closeness constraint imposed with a plurality of vertical electronic element; and balancing the smoothness constraint and the closeness constraint with a balancing means controlling the vertical electronic elements, the horizontal electronic elements, or both the vertical and the horizontal elements, the balancing means controlled by at least a portion of the first signal. | 04-21-2011 |
| 20110123132 | Image Processing Techniques for Printing Identification Cards and Documents - The invention relates to identification documents, and in particular to pre-printing processing covert images, such as UV or IR images, provided on such identification documents. In one implementation, the invention provides a method of processing a digital image that is to be printed on a surface of an identification document as a fluorescing-capable image to improve the quality of the image. Edges or boundaries are detected within the image, the detected edges or boundaries forming an intermediate image. The edges or boundaries within the image are emphasized, and the emphasized image is used for printing the covert image. In some implementations of the invention, a digital watermark is embedded in the covert image. | 05-26-2011 |
| 20110129167 | IMAGE CORRECTION APPARATUS AND IMAGE CORRECTION METHOD - An image correction apparatus includes a motion vector calculation unit, a characteristic decision unit and a correction unit. The motion vector calculation unit calculates a motion vector of an image based on a plurality of images sharing a shooting area. The characteristic decision unit decides an edge characteristic for image correction based on the motion vector calculated by the motion vector calculation unit. The correction unit corrects a pixel value of a pixel having the edge characteristic decided by the characteristic decision unit in an input image obtained from the plurality of images. | 06-02-2011 |
| 20110158551 | IMAGE COMPOSITION DEVICE, IMAGE COMPOSITION METHOD, AND STORAGE MEDIUM STORING PROGRAM - An image composition device includes an obtaining section configured to obtain a downward-taken background image and a foreground image to be composed with the background image, a specification section configured to specify a position at which the foreground image is composed, in the background image obtained by the obtaining section, a composition section configured to compose the foreground image at the position in the background image which is specified by the specification section, to generate a composed image, and an image processing section configured to execute a smoothing process with a process intensity controlled based on the position, on the composed image. | 06-30-2011 |
| 20110188774 | IMAGE GENERATING APPARATUS AND METHOD FOR EMPHASIZING EDGE BASED ON IMAGE CHARACTERISTICS - An image generating apparatus and method for emphasizing an edge, based on image characteristics by extracting an edge region from an input original image, and an edge gain indicating a degree for emphasizing the edge region and an edge threshold indicating a degree of complexity between pixels are calculated for each of a plurality of image regions of the original image. The extracted edge region is combined with the calculated edge gain. Thresholding is performed by adjusting the calculated edge threshold for the edge region combined with the edge gain, and the thresholding-applied edge region is combined with the original image to output a final image. By adaptively adjusting an edge gain and an edge threshold for a portion where an edge needs to be emphasized and the other portions in an image having multiple image characteristics, both edge emphasis and noise cancellation can be achieved together. | 08-04-2011 |
| 20110211767 | Selective Local Transient Improvement and Peaking for Video Sharpness Enhancement - A method of selectively sharpening an image may include, for at least some pixels in the image, determining a frequency content associated with a pixel value in the image. The pixel may be linearly sharpened if the frequency content exceeds a threshold. The pixel may be non-linearly sharpened if the frequency content does not exceed the threshold. In some implementations, the non-linear sharpening may include wavelet decomposition of the image and enhancement of decomposed components. | 09-01-2011 |
| 20110229053 | ADAPTIVE OVERSHOOT CONTROL FOR IMAGE SHARPENING - A method for sharpening a captured image includes the steps of (i) identifying a plurality of edge pixels in the captured image, (ii) reviewing the plurality of edge pixels to identify one or more line pixels, and one or more non-line pixels in the captured image ( | 09-22-2011 |
| 20110235939 | System and Method for Enhancing Registered Images Using Edge Overlays - The system relates to a method for enhancing an image by extracting edge points from a corresponding image and overlaying the edge points on the image to be enhanced. In one aspect of the method, the first image is of a lower resolution than the second image. The method also contemplates enhancing an image taken with a first modality with a second image taken with another modality. | 09-29-2011 |
| 20110255801 | IMAGE PROCESSING APPARATUS, IMAGING APPARATUS, AND IMAGE PROCESSING PROGRAM - An image processing apparatus includes an edge emphasizing unit configured to form an edge emphasized image by emphasizing an edge of an input image, a range setting unit configured to set a pixel value range of a target pixel value of a target pixel of the input image based on a pixel value difference between the target pixel value and a neighboring pixel value of a neighboring pixel of the input image, and based on an edge emphasized neighboring pixel value of an edge emphasized neighboring pixel of the edge emphasized image, and a ringing control unit configured to restrict an edge emphasized target pixel value of an edge emphasized target pixel of the edge emphasized image in the pixel value range. The edge emphasized neighboring pixel corresponds to the neighboring pixel position of the input image. | 10-20-2011 |
| 20110293198 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes: an unit that performs second-order differentiation on an inputted image signal, and outputs the result as an edge enhancement signal; an unit that calculates a first difference value in a form of an absolute value of a difference between pixel values of two first pixels; an unit that calculates a second difference value in a form of an absolute value of a difference between pixel values of two second pixels; an unit that multiplies the second difference value by a first value; an unit that subtracts the multiplication result from the first difference value, limits a lower-limit value of the result to 0, and outputs the result as an edge adjustment coefficient; an unit that corrects the edge enhancement signal through multiplication by the edge adjustment coefficient; and an unit that adds the corrected edge enhancement signal to the image signal. | 12-01-2011 |
| 20110305403 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - Depth-of-field information is obtained from an image signal input from an external image source according to a predetermined acquisition timing. An image signal processing unit performs an image quality adjustment such that an edge enhancement level in an edge enhancement processing is increased adaptively with increasing depth of field of an image whereby the total quality of the image displayed is improved. | 12-15-2011 |
| 20110311156 | METHOD AND SYSTEM FOR CORRECTING LENS SHADING - There is provided an image sensor according to an aspect of the present invention that includes: a reference image luminance extractor partitioning a reference image into a plurality of reference image blocks and extracting luminance values of edge pixels at the edges of each of the plurality of reference image blocks to calculate a luminance weight value for each of the edge pixels; a luminance weight value calculator calculating a luminance weight value of each pixel of the corresponding reference image block on the basis of luminance weight values of edge pixels of the corresponding reference image block with respect to each of the plurality of reference image blocks; and a luminance corrector correcting the luminance of an input image by multiplying the luminance weight value for each pixel calculated by the luminance weight value calculator with respect to a luminance value of each pixel of the input image. | 12-22-2011 |
| 20120045144 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND CAMERA MODULE - In an image processing apparatus according to one embodiment, an edge correcting unit replaces a signal level of a target pixel with a maximum value of signal levels of a plurality of peripheral pixels when a sum of the signal level of the target pixel and the edge information is more than the maximum value, and the edge correcting unit replaces the signal level of the target pixel with a minimum value of the signal levels of the plurality of peripheral pixels when a sum of the signal level of the target pixel and the edge information is less than the minimum value. | 02-23-2012 |
| 20120045145 | CODING ARTIFACTS REMOVING METHOD, CODING METHOD, DECODING METHOD, CODING ARTIFACTS REMOVING APPARATUS, CODING APPARATUS, AND DECODING APPARATUS - A method of removing coding artifacts in first and second processed edges that are processed edges in an image signal and in different directions includes: determining, based on at least pixel values of first adjacent pixels adjacent to the first processed edge, a first target pixel from which coding artifacts are to be removed for the first processed edge (S | 02-23-2012 |
| 20120070099 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing device includes: a first edge strength calculation part that calculates a first edge strength for a focus pixel based on pixel values in a first region that includes the focus pixel in an input image; a second edge strength calculation part that calculates a second edge strength for the focus pixel based on pixel values in a second region that is smaller than the first region and that includes the focus pixel; and a filter processing part that determines a filter coefficient such that a first smoothing strength is higher than a second smoothing strength and that filters the input image using the filter coefficient. The first smoothing strength is obtained where the first edge strength is higher than a first reference value and where the second edge strength is lower than a second reference value, and the second smoothing strength is obtained in other cases. | 03-22-2012 |
| 20120082396 | Digital Image Resampling - Systems, methods and computer program products are disclosed for resampling a digital image. According to an implementation, a source image can be presharpened and upsampled to a first upsampled image having a specified image size and a first level of presharpening. The source image is also presharpened and upsampled to a second upsampled image having the specified image size and second level of presharpening that is less than the first level of presharpening. The first and second upsampled images are deblurred. A binary edge mask image is generated from the deblurred, upsampled images. The binary edge mask image is dilated and blurred to generate a deep mask image. The first and second, deblurred upsampled images are blended together using the deep mask image. | 04-05-2012 |
| 20120093434 | EDGE DETECTION - An edge detection method and apparatus is disclosed. The method comprises the steps of: calculating a pixel gradient value for each of a plurality of pixels of a digital image, the pixel gradient value representing the difference of a pixel value with respect to at least one neighbouring pixel; for each of a plurality of binarization threshold values, determining a corresponding edge map representing the location of pixel gradient values exceeding the binarization threshold value with respect to a side of the digital image; for each edge map, computing a measure of linearity; determining an optimal binarization threshold value based on the computed measures of linearity; and selecting the edge map corresponding to the optimal binarization threshold value. | 04-19-2012 |
| 20120170864 | PERCEPTUAL BLOCK MASKING ESTIMATION SYSTEM - Systems and methods are disclosed for determining the perceptibility of noise in a block of images and/or video. The systems and methods may compute a mask value for the block using a block masking generator. The mask value may indicate the perceptibility of noise in the block. The mask value may be computed using a normalized activity value and/or a texture value for the block. The normalized activity value may indicate the relative activity in the block as compared to the activity in the image and/or video. The texture value may indicate the strength and/or number of edges in the block. | 07-05-2012 |
| 20120263394 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND RECORDING MEDIUM WITH RECORDED IMAGE PROCESSING PROGRAM - An image processing device ( | 10-18-2012 |
| 20120269454 | Automated Underwater Image Restoration Via Denoised Deconvolution - A method for calculating an image quality metric for evaluating the quality of a digital image including the steps of denoising the data of the image, identifying edges in the denoised data, determining an edge profile of the edges, determining a grayscale angle for each identified edge in the edge profile that is associated with the edge, and calculating the image quality metric based on a weighted average of the grayscale angles for all the edges. | 10-25-2012 |
| 20120275721 | IMAGE ENHANCEMENT - A method and system are disclosed for enhancing the visibility of features of an image. The method comprises the steps of acquiring image data corresponding to at least one image feature using sensing means; processing the image data to identify changes in adjacent data points corresponding to a boundary of the at least one image feature; and, generating modified image data corresponding to the processed image data. | 11-01-2012 |
| 20120301049 | CONTOUR CORRECTION DEVICE - A contour correction device is provided having a video image judging unit which executes an edge detection process to detect a change of a signal in a video image as an edge portion, and a texture detection process to detect a texture portion in which a change of signal smaller than the edge portion in the video image repeatedly appears, and a contour component gain adjusting unit which applies contour correction processes which differ from each other to the edge portion and the texture portion. | 11-29-2012 |
| 20130004099 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a smoothing processing unit which performs smoothing processing, a thinning processing unit which performs thinning processing, an edge direction determination unit which determines an edge direction with respect to each pixel of the image data and a blending processing unit which decides a pixel value of each pixel of when the thinning processing and the smoothing processing are realized at same time. In the image processing apparatus, the blending processing unit decides a pixel value of a target pixel of when the thinning processing and the smoothing processing are realized at the same time depending on a combination of whether the thinning processing is performed or not and whether the smoothing processing is performed or not on the target pixel. | 01-03-2013 |
| 20130022288 | IMAGE PROCESSING APPARATUS AND METHOD FOR REDUCING EDGE-INDUCED ARTEFACTS - The present invention relates to image processing. A wavelet decomposition unit ( | 01-24-2013 |
| 20130044965 | SUPER RESOLUTION SYSTEM AND METHOD WITH DATABASE-FREE TEXTURE SYNTHESIS - A super resolution (SR) method or system with database-free texture synthesis is disclosed. An input image is up-sampled to result in an up-sampled image. It is determined whether the input image possesses a smooth region. Edges of the up-sampled image are enhanced, and the enhancing edges step is bypassed if the smooth region has been detected. The enhanced or unenhanced up-sampled image is texture synthesized by taking the input image as texture example, thereby resulting in a synthesized image. | 02-21-2013 |
| 20130064470 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD FOR REDUCING NOISE - When a noise of an image is reduced by using a plurality of sheets of images, a noise of a portion which cannot be aligned cannot be reduced. Aligning processing of the plural images is performed to generate an average image formed by pixels subjected to the aligning processing. Further, a difference between average image data representing the average image and input image data representing an input image is calculated, and the noise of the input image is reduced by using the calculated difference. | 03-14-2013 |
| 20130121610 | SHARPNESS ESTIMATION IN DOCUMENT AND SCENE IMAGES - Systems and methods described herein are directed to estimating the sharpness of images or photos such as document pages or scenes. The systems and methods are based on calculating a difference in grayscale values between pixels at an edge of an image. The differences may be accomplished by taking a slope of grayscale values between two pixels at an edge window, and estimating the edge sharpness based on the slope, multiple slopes, or differences in the slopes. | 05-16-2013 |
| 20130121611 | IMAGE PROCESSING DEVICE AND METHOD AND IMAGE DISPLAY DEVICE - An image processing device includes an edge-enhancing image enlarger that converts an input image to a high-resolution image with edge enhancement. A difference calculator determines differences between the high-resolution image and the input image. A high-resolution image corrector corrects the high-resolution image by diffusing the differences to pixels of the high-resolution image, thereby generating a corrected image in which edges are enhanced without image degradation in textured areas. | 05-16-2013 |
| 20130129249 | Methods and Apparatus for Edge-Aware Pixel Data Generation - Methods and apparatus for deinterlacing an interlaced image or for upsampling an image. In one embodiment, an Edge Aware Deinterlacing system may identify edge areas and non-edge areas of an image in order to apply one interpolation method to pixels within the edge areas and a different interpolation method to pixels within the non-edge areas. | 05-23-2013 |
| 20130170768 | IMAGE PROCESSING APPARATUS, METHOD OF IMAGE PROCESSING, AND RECORDING MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing apparatus including an image processing unit and configured to generate an enlarged image of an original image. The image processing unit is configured to generate the enlarged image by sequentially and repeatedly executing an edge-enhancement and enlargement process on the original image. The edge-enhancement and enlargement process is a process for enhancing edges in an image while enlarging the image. | 07-04-2013 |
| 20130177256 | Image Processing Apparatus, Recording Medium Storing Image Processing Program, And Method Of Image Processing - An image processing apparatus including a first image processing unit and a second image processing unit. The first image processing unit is configured to calculate a parameter for image processing based on a first image, but not based on a second image, and execute the image processing on the first image using the parameter. The second image processing unit is configured to execute the image processing on the second image using the parameter. | 07-11-2013 |
| 20130182969 | METHOD AND APPARATUS FOR CORRECTING CORNER POINT OF IMAGE AND IMAGE PROCESSING DEVICE - The present invention discloses a method and apparatus for correcting a corner point of an image and an image processing device. The method includes: determining first candidate corner points of an initial corner point in a first local region; obtaining information related to the image in a second local region; selecting, among the first candidate corner points of the initial corner point, the first candidate corner points meeting a predetermined condition, as second candidate corner points of the initial corner point according to the information; and correcting the initial corner point using the second candidate corner points of the initial corner point. The apparatus is configured to perform the processes of the method. The image processing device includes the apparatus for correcting a corner point of an image. With the technology, a roughly detected corner point can be corrected. | 07-18-2013 |
| 20130223757 | Automated Underwater Image Restoration Via Denoised Deconvolution - A method for calculating an image quality metric for evaluating the quality of a digital image including the steps of denoising the data of the image, identifying edges in the denoised data, determining an edge profile of the edges, determining a grayscale angle for each identified edge in the edge profile that is associated with the edge, and calculating the image quality metric based on a weighted average of the grayscale angles for all the edges. | 08-29-2013 |
| 20140126834 | METHOD AND DEVICE FOR PROCESSING OF AN IMAGE - The invention addresses the problem that traditional Total Variation only enforces the horizontal and vertical intensity continuity and thus fails to reconstruct oblique edges well. In an embodiment, Directional Total Variation is defined which supports multiple gradient directions. It first pre-processes the image and determines the direction of edges/texture; Directional TV is calculated based on the gradients along the determined direction and its orthogonal direction. By utilizing adaptive weights to different directions in the regularization, Directional TV is capable of preserving edges independent from their orientation nicely. Thus, Directional TV regularization based image denoising, compression or super resolution tend to obtain better quality. | 05-08-2014 |
| 20140140635 | IMAGE RECTIFICATION USING TEXT LINE TRACKS - This invention is a method for rectifying an input digital image including warped textual information. The method includes analyzing the input digital image to determine a plurality of text line traces that track along with the warped textual lines in a substantially parallel fashion. The input digital image is subdivided into a plurality of vertical slices, each having associated first and second slice edges and an associated slice width. Vertical slice deformation models are formed for the vertical slices by identifying a plurality of text line traces that cross a particular vertical slice, and fitting a parametric function that predicts second-edge vertical coordinates for the text line traces as a function of corresponding first-edge vertical coordinates. A plurality of streamlines are formed responsive to the vertical slice deformation models. A global deformation function is formed by interpolating between the streamlines and is used to form a rectified image | 05-22-2014 |
| 20140140636 | Anisotropic Gradient Regularization for Image Denoising, Compression, and Interpolation - De-noising an image by Anisotropic Gradient Regulation commences by first choosing edge directions for the image. Thereafter, an anisotropic gradient norm is established for the image from anisotropic gradient norms along the selected edge directions. The image pixels undergo adjustment to minimize the anisotropic gradient norm for the image, thereby removing image noise. | 05-22-2014 |
| 20140147057 | CONTENT ADAPTIVE EDGE AND DETAIL ENHANCEMENT FOR IMAGE AND VIDEO PROCESSING - A content-adaptive edge and detail enhancement method is described for image/video processing. Both 2D peaking and LTI/CTI are used in sharpening pictures. Image analysis is performed to generate a mask to control the use of the two peaking techniques. The strength or likelihood of edges or transitions is measured and such a strength or likelihood measurement will be transformed into a blending factor controlling the blending of the LTI/CTI and peaking outputs. | 05-29-2014 |
| 20140294319 | SELF-ADAPTIVE IMAGE EDGE CORRECTION DEVICE AND METHOD THEREOF - A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a processor, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the processor superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The processor then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required. | 10-02-2014 |
| 20140334742 | IMAGE ENHANCING DEVICE AND IMAGE ENHANCEMENT METHOD - An image is sharpened by using a frequency component higher than Nyquist frequency. | 11-13-2014 |
| 20140369622 | IMAGE COMPLETION BASED ON PATCH OFFSET STATISTICS - An image completion system receives an input image that includes an unknown region to be filled. Upon receiving the image, the image completion system examines a known region of the image other than the unknown region and matches a plurality of patches that are obtained from the known region. The image completion system determines a plurality of offsets associated with the matching and computes statistics associated with these offsets. Based on a subset of the offsets, the image completion system locates features in the known region that are used to fill the unknown region and corresponding offsets based on an energy function and an optimization algorithm. Upon locating the features, the image completion system fills the unknown region based on the located features and the corresponding offsets. | 12-18-2014 |
| 20150030258 | SYSTEM AND METHOD OF CORNER NOISE REDUCTION IN AN IMAGE - Systems and methods for reducing noise artifacts in an image are disclosed. A radial distance-based look up table may be used to calibrate a noise property change due to the vignette effect. Based on the look up table, a spatial varying noise reduction level is computed to correct the noise property distortion due to the image vignetting. | 01-29-2015 |
| 20150036945 | Reconstruction of Missing Regions Of Images - Methods and systems for an image construction component capable of generating pixel information for certain regions of an image based on other, existing regions of the image. For example, the image construction component may identify a target block of pixels for which to generate pixel information and then use pixel information for pixels surrounding the target block of pixels in order to identify similar image information within pixels in another part of the image. These identified pixels may then be used in defining the pixel information of the target block of pixels and also used in blending the target block of pixels with the defined pixels surrounding the target block of pixels. | 02-05-2015 |
| 20150049958 | PARTIAL DYNAMIC FALSE CONTOUR DETECTION METHOD BASED ON LOOK-UP TABLE AND DEVICE THEREOF, AND IMAGE DATA COMPENSATION METHOD USING THE SAME - A method for detecting noise includes determining whether a data value of a candidate pixel in a predetermined region of an image matches a first dynamic false contour (DFC) candidate value, determining whether a data value of at least one pixel adjacent to the candidate pixel matches a second DFC candidate value, and changing the data value of the candidate pixel the prior two determinations. The data value of the candidate pixel may be changed to a value in a lookup table. The first and second DFC candidate values may also be stored in one or more lookup tables. | 02-19-2015 |
| 20150086129 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE - The method includes: calculating a pixel statistical value and edge of pixels for each of areas of a multi-layer, the areas each containing a target pixel and having a successively decreased range; correcting the edge based on a pixel statistical value of an area that is wider than a specific area; correcting difference between a pixel statistical value of the specific area and the pixel statistical value of the area that is wider than the specific area using the post-correction edge; correcting the pixel statistical value of the specific area using post-correction difference and the pixel statistical value of the area that is wider than the specific area; and correcting the target pixel by repeating correction of the pixel statistical value of the specific area successively in each area until the area reduces its range from the maximum range to the minimum range. | 03-26-2015 |
| 20150086130 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE - A method includes: calculating a pixel statistical value and edge of pixels for each of areas of a multi-layer, the areas each containing a target pixel and having a successively decreased range; correcting the edge based on a pixel statistical value of an area that is wider than an area of a specific layer; correcting difference between a pixel statistical value of the specific layer and the pixel statistical value of a layer that is wider than the specific layer using the post-correction edge; correcting the pixel statistical value of the specific layer using post-correction difference and the pixel statistical value of the layer that is wider than the specific layer; and correcting the target pixel by repeating correction of the pixel statistical value successively in each layer until the area reduces its range from the maximum range to the minimum range. | 03-26-2015 |
| 20150093039 | IMAGE SUPER-RESOLUTION RECONSTRUCTION SYSTEM AND METHOD - The present disclosure discloses an image super-resolution reconstruction method, comprising the steps of: performing an edge detection on low-resolution images to be processed to obtain edge pixel frames, amplifying the edge pixel frames so that each amplified image is the double of the original edge pixel frame in size in both horizontal direction and vertical direction, without changing the detected edge pixel information, and compensating for the interpolated interpolation pixels according to different pixel edges to obtain a high-resolution image. The method can ensure the definition and integrity of the edges, and enhance the contrast without degrading image quality. At last, the previous interpolation pixels are compensated according to optimized rules, during which influences of edge pixels and surrounding pixels are comprehensively considered, so as to eliminate the sawtooth phenomenon of the output image. | 04-02-2015 |
| 20150125090 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, TELEVISION RECEIVER, PROGRAM, AND RECORDING MEDIUM - An image processing device ( | 05-07-2015 |
| 20150312442 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - Provided are an image processing device, image processing method, and computer program which can accurately detect noise in an input image and eliminate or reduce the noise. A display device extracts a specific area including a target pixel from an input image and determines whether the boundary of noise is included in the specific area. If so determined, the display device performs filtering using a smoothing filter to smooth the target pixel. If not so determined, the display device performs filtering using an edge-preserving smoothing filter to smooth the target pixel. At this time, the display device determines whether to apply the result of the smoothing process using the edge-preserving smoothing filter, on the basis of the pixel values in the specific area, the result of the smoothing process using the edge-preserving smoothing filter, and the like. | 10-29-2015 |
| 20160035069 | METHOD AND APPARATUS FOR CORRECTING IMAGE - An image correction method includes: obtaining information regarding at least one of brightness and colors of pixels constituting an input image, the input image comprising a plurality of regions classified according to whether the at least one of the brightness and the colors of the pixels are substantially uniformly distributed in a corresponding region; determining a weight with respect to at least one pixel based on the obtained information; and correcting the input image with respect to the at least one pixel based on the determined weight. | 02-04-2016 |
| 20160042502 | IMAGE ENHANCEMENT METHOD AND DEVICE - The present invention disclose an image enhancement method, including: calculating a central response value of a target pixel based on an original pixel value of the target pixel; calculating a first total suppression value of the target pixel, where the values of suppression to the target pixel from the neighborhood pixels refer to values representing suppression effects imposed by the neighborhood pixels on the target pixel; and when the central response value is greater than the first total suppression value, subtracting the first total suppression value from the central response value, to obtain a difference, and using the difference as a pixel value of the target pixel after image enhancement; or when the central response value is less than the first total suppression value, using a value 0 as a pixel value of the target pixel after image enhancement. | 02-11-2016 |
| 20160055625 | METHOD AND APPARATUS FOR DETECTING AND REMOVING FALSE CONTOUR, METHOD AND APPARATUS FOR VERIFYING WHETHER PIXEL IS INCLUDED IN CONTOUR, AND METHOD AND APPARATUS FOR CALCULATING SIMPLICITY - A method and an apparatus for detecting and removing a false contour, a method and an apparatus for verifying whether a pixel is included in a contour, and a method and an apparatus for calculating simplicity are provided. The method for detecting and removing the false contour includes: verifying whether a pixel of an input video is included in a contour; calculating simplicity of the pixel; determining whether the pixel is included in a false contour based on the simplicity and based on whether the pixel is included in the contour; and removing the false contour from the input video via smoothing with respect to the false contour. | 02-25-2016 |
| 20160093026 | IMAGE ENHANCEMENT USING SEMANTIC COMPONENTS - A system for determining a high resolution output image that includes receiving a low resolution image and determining an intermediate high resolution image. The system detects semantic features based upon the input image and selects corresponding semantic components from a database based upon the detected semantic features. The first intermediate high resolution image is modified based upon information from the corresponding semantic components to determine the high resolution output image. | 03-31-2016 |
| 20160165096 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a gain calculation unit that calculates a plurality of first gains that respectively correspond to a plurality of predetermined edges based on a target pixel value and values of pixels adjacent to the target pixel, a blend ratio calculation unit that calculates a plurality of characteristic amounts that represent an accuracy of detecting the plurality of edges based on the target pixel value and the adjacent pixel values and calculates a plurality of weights that respectively correspond to the plurality of first gains based on the plurality of characteristic amounts, a gain adjustment unit that calculates a second gain based on the plurality of first gains and the plurality of weights and an output image generation unit that applies the second gain to the target pixel value to generate output image data. | 06-09-2016 |
| 20190147570 | ENHANCEMENT OF EDGES IN IMAGES USING DEPTH INFORMATION | 05-16-2019 |
