Abstract: Disclosed herein are exemplary embodiments of methods, apparatus, and systems for performing content-adaptive deblocking to improve the visual quality of video images compressed using block-based motion-predictive video coding. For instance, in certain embodiments of the disclosed technology, edge information is obtained using global orientation energy edge detection (“OEED”) techniques on an initially deblocked image. OEED detection can provide a robust partition of local directional features (“LDFs”). For a local directional feature detected in the partition, a directional deblocking filter having an orientation corresponding to the orientation of the LDF can be used. The selected filter can have a filter orientation and activation thresholds that better preserve image details while reducing blocking artifacts. In certain embodiments, for a consecutive non-LDF region, extra smoothing can be imposed to suppress the visually severe blocking artifacts.

Abstract: Provided are an upscaling device, an upscaling method, and an upscaling program capable of keying processing at low cost and with high accuracy.

Abstract: A system for generating image content, the system comprising an image region identification unit operable to identify one or more regions of an image to be displayed as low-detail regions, an image processing unit operable to perform processing to reduce colour differences for each of one or more areas within one or more of the identified regions, and an image output unit operable to output one or more processed images.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data is received, and an edge present within a sample of the received video data is detected. A gradient value corresponding to a direction associated with the detected edge is calculated. The video data is decoded based on the calculated gradient.

Abstract: Disclosed herein are exemplary embodiments of methods, apparatus, and systems for performing content-adaptive deblocking to improve the visual quality of video images compressed using block-based motion-predictive video coding. For instance, in certain embodiments of the disclosed technology, edge information is obtained using global orientation energy edge detection (“OEED”) techniques on an initially deblocked image. OEED detection can provide a robust partition of local directional features (“LDFs”). For a local directional feature detected in the partition, a directional deblocking filter having an orientation corresponding to the orientation of the LDF can be used. The selected filter can have a filter orientation and activation thresholds that better preserve image details while reducing blocking artifacts. In certain embodiments, for a consecutive non-LDF region, extra smoothing can be imposed to suppress the visually severe blocking artifacts.

Abstract: An image processing apparatus includes search area calculation means for calculating a search area size on the basis of a pixel size of at least one image among a first image and a second image, position obtaining means for obtaining a position of interest on the first image and a correspondence position on the second image corresponding to the position of interest, search area setting means for setting a search area made up of the search area size in a surrounding of the correspondence position on the second image, and difference means for deciding a difference value corresponding to the position of interest on a basis of a density value of the position of interest on the first image and density values of a plurality of positions in the search area on the second image.

Abstract: The present disclosure relates to a display device and a rendering method thereof which can reduce pattern artifacts by controlling padding data using data of a plurality of pixels neighboring a boundary, and a rendering method of a display device according to an embodiment determines smaller data or luminance values for respective colors between first and second pixel data neighboring a boundary as padding data and renders the padding data and any one of the first and second pixel data immediately neighboring the boundary for the respective colors.

Abstract: A variety of methods for driving electro-optic displays so as to reduce visible artifacts are described. Such methods includes updating a display having a plurality of display pixels with a first image, identifying display pixels with edge artifacts after the first image update, and storing the identified display pixels information in a memory.

Abstract: A network of computing devices includes a timing reference, a free-run node, and an aggregator. The reference calculates a first communication packet having a reference timestamp and reference data, and transmits the first packet to the free-run node. The free-run node receives the first packet from the timing reference, calculates a second packet having metadata that includes the reference timestamp, a sparse hash value calculated from the reference data, and a free-run node timestamp, and publishes the second packet to the aggregator. The aggregator receives the second packet and calculates a compensation value from the reference timestamp, the sparse hash value, and the free-run node timestamp. Computer-implemented methods include the free-run node receiving the compensation value and updating its local dock based on the compensation value. Other methods include the aggregator determining an optimal packet path through a network of computing devices based on the metadata.

Abstract: A monitor ECU 10 performs a support control based on a camera image photographed through a protection window by a camera 21. The ECU determines that a protection window state is an entire dirt state, when a first area index value calculated based on edge strength of pixels in a first area including a center of the camera image is smaller than a threshold dirt value. The ECU determines that the entire dirt state ends, when at least one of a first condition or a second condition is established. The first condition is established when the first area index value is equal to or greater than a first threshold end value. The second condition is established when a second area index value calculated based on the edge strength in a second area except the first area is equal to or greater than a second threshold end value.

Abstract: Provided are an image processing device and an image processing method. The image processing device comprises: a display; and a processor for determining an edge area within an input image and a peripheral area of the edge area, and determining a pixel value of the edge area on the basis of pixel characteristics of a plurality of pixels included in the peripheral area, thereby providing an image, in which the edge area is compensated on the basis of the determined pixel value, to the display.

Abstract: Signal detection adaptable to accommodate various lighting conditions, and to detect embedded signals according to anticipated lighting conditions likely to be present during image capture. A portable apparatus comprising: a camera for capturing data representing imagery or video; a touchscreen display; means for communicating and receiving data; means for obtaining data representing imagery or video, the imagery or video having been captured with said camera; means for obtaining lighting information associated with image capture of the imagery or video, in which the lighting information is associated with a light level or color temperature; and means for processing the data representing imagery or video to determine whether a signal is encoded therein, in which said means for processing utilizes obtained lighting information to determine whether the signal is encoded in the data representing imagery or video. Additional disclosure, combinations and claims are also provided.

Abstract: An image that is to be a target for filtering processing is acquired, a plurality of filters having mutually different filter sizes and arrangement spacing for significant coefficients in the filters are applied to the image to perform filtering processing on the image.

Abstract: Screen processing is performed on input image data. A boundary pixel adjacent to a white pixel in the input image data is detected. Output image data based on either the input image data or the screen-processed image data is selectively output for each pixel in accordance with the detection result of the boundary pixel.

Abstract: 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.

Abstract: The present invention relates to the parallel calculation of convoluted data. In particular, the invention relates to Gaussian pyramid construction and parallel processing of image data, such as parallel calculation of repeatedly convoluted data for use in a SIFT algorithm.

Abstract: Provided herein is a method for implementing antialiasing including independently operating different portions of a graphics pipeline at different sampling rates in accordance with pixel color details.

Abstract: The present disclosure includes systems and techniques relating to processing of high resolution images, such as digital painting on high resolution images. In general, one aspect of the subject matter described in this specification can be embodied in a method that includes receiving input defining a modification to a target image; determining, at a first processor, a low resolution proxy result of the modification applied to the target image; determining, at a second processor, a higher resolution result of the modification applied to the target image; displaying the low resolution proxy result before completion of the determining at the second processor; and updating the displayed low resolution proxy result with the higher resolution result. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Abstract: An unnatural pixel value that appears near the edge of an object included in a viewpoint-changed image, in which a viewpoint is changed, is effectively corrected.

Abstract: In an image processing apparatus, a process display unit displays on the display a plurality of candidate image processes to be performed on the image data. The plurality of candidate image processes includes a sepia image process. A process receiving unit receives an instruction indicating the sepia image process selected from among the plurality of candidate image processes. A process storing unit stores the selected sepia image process. An image display unit displays a display image corresponding to the image data on the display. An image designating unit designates a display image. The image display unit displays a processed display image that represents a result of the selected sepia image process performed on the image data corresponding to the designated display image before performing the selected sepia image process on the image data corresponding to the designated display image.

Abstract: A method and system for generating strokes in real-time on an electronic paper display. A display device receives the stroke input, which is converted to binary code by a digitizer. A rendering engine renders the high-resolution stroke data in non-antialiased form to an ink buffer. The rendering engine then updates pixels based on the color or gray level of the background (unlinked) pixel and the amount of ink covering the pixel.

Abstract: A system and method converts pixels of continuous image data to pixels of binary image data using a halftone screen corresponding to a predetermined reduced coverage percentage; determines if a target pixel of binary image data is a non-white pixel; compares a window of pixels of binary image data with a predetermined pattern of pixels of binary image data corresponding to the predetermined reduced coverage percentage; determines that the target pixel is a non-edge pixel; and reduces the number of non-white pixels in the binary image data based upon the determination that the target pixel is a non-edge pixel.

Abstract: An image processing apparatus includes an edge strength calculating unit that sets, as an input image, a pixel number reduced image obtained by reducing the total number of pixels of an image captured by an imaging element and calculates edge strengths of a plurality of directions in a unit of a pixel block; an interpolated-pixel value calculating unit that calculates interpolated-pixel values as smoothing components of the plurality of directions in the pixel block; a weight calculating unit that calculates weights for the interpolated-pixel values as the smoothing components of the plurality of directions based on the edge strengths; and a blending processing unit that calculates a pixel value of the correction object pixel which is the center pixel of the pixel block by performing a blending process by weighted addition of the interpolated-pixel values, which are the smoothing components of the plurality of directions, and the calculated weights.

Abstract: A normal-phase candidate position selection unit designates a pixel on a horizontal or vertical line in a position separated by two lines from a target position of an input image as a normal-phase candidate pixel, which is a candidate for a pixel at which jaggies are in the same phase as a pixel of the target position. A reverse-phase candidate position selection unit designates a pixel between the target position in the input image and the normal-phase candidate pixel as a reverse-phase candidate pixel. The weight value calculation unit calculates a weight value based on a degree of similarity between an image adjacent to the target position and an image adjacent to the normal-phase candidate pixel. The weighted expected value calculation unit performs weighted addition of reverse-phase candidate pixels using the weight value and generates a reverse-phase image by reversing only the phase of the jaggies in the input image.

Abstract: In one embodiment the present invention includes a digital image processing method for concealing errors. The method includes determining error pixel locations based on motion vectors and determining if the error pixel locations in a current frame are on an edge of an object in the current frame. If an error pixel location is on an edge, then a search of pixel values is performed in the current frame along the edge for a replacement pixel value. If the error pixel location is not on an edge, then a search of pixel values is performed in a region adjacent to the edge for the replacement pixel value.

Abstract: In order to transfer an image encoded at a high compression rate and suitably increase the resolution of the transferred image, it is provided an image transfer system, comprising: an image transmission unit that transmits an image; and an image reception unit that receives the image transmitted from the image transmission unit. The image transmission unit scales down the image, and transmits the scaled-down image to the image reception unit. The image reception unit calculates an angle between a line displayed in the image transmitted from the image transmission unit and a horizontal direction of the image in correspondence with pixels included in the image, scales up the image transmitted from the image transmission unit, and removes an aliasing component of the scaled-up image based on the calculated angle.

Abstract: Provided is an image processing apparatus and image processing method that make it possible to reduce jaggedness and blurring that may occur when performing resolution conversion of an inputted image from low resolution to high resolution, and make it possible to output a high-resolution image. When performing the conversion from low resolution to high resolution, a multi-gradation signal value pattern that surround a pixel of interest for which interpolation is being performed is acquired. By performing pattern matching, a pattern that corresponds to the acquired signal value pattern is extracted from among pattern files that are prepared in advance for the acquired signal value pattern, after which the image is converted to high resolution by signal value substitution and then outputted.

Abstract: A video display pipe used for processing pixels of video and/or image frames may include edge Alpha registers for storing edge Alpha values corresponding to the edges of an image to be translated across a display screen. The edge Alpha values may be specified based on the fractional pixel value by which the image is to be moved in the current frame. The video pipe may copy the column and row of pixels that are in the direction of travel, and may apply the edge Alpha values to the copied column and row. The edge Alpha values may control blending of the additional column and row of the translated image with the adjacent pixels in the original frame, providing the effect of the partial pixel movement, simulating a sub-pixel rate of movement.

Abstract: An image processing device includes an image estimation unit that estimates an image prior to the jaggedness occurrence from a jaggedness-occurring image and generates an estimated image prior to the jaggedness occurrence, and a weighting/adding unit that selects a jaggedness-occurring area as a processing target area in the estimated image prior to the jaggedness occurrence, detects a similar area that is a pixel area and similar to the processing target area, and then computes a weight according to the degree of similarity of each detected similar area to the processing target area, and detects a corresponding area in the jaggedness-occurring image to the processing target area and the similar area, and then computes a corrected pixel value of the processing target area of the jaggedness-occurring image through a weighting/adding process to which the weight of a pixel value of the detected corresponding area is applied.

Abstract: A solid imaging apparatus and method employing sub-pixel shifting in multiple exposures of the digitally light projected image of a cross-section of a three-dimensional object on a solidifiable liquid medium. The multiple exposures provide increased resolution, preserving image features in a three-dimensional object and smoothing out rough or uneven edges that would otherwise be occur using digital light projectors that are limited by the number of pixels in an image projected over the size of the image. Algorithms are used to select pixels to be illuminated within the boundary of each image projected in the cross-section being exposed.

Abstract: This invention obtains a high-quality output image in which a jaggy or a disconnection of a thin line hardly stands out. An edge detection unit detects whether the pixel of interest is an edge pixel or a non-edge pixel. A screen processing unit performs screen processing for the pixel of interest to determine the output value of the N-level tone. A calculation unit performs filtering processing having a preset visual sense characteristic for an area including the pixel of interest to calculate the target value of the pixel of interest, and corrects the value of the pixel of interest so as to come close to the target value, thereby determining the output value of the N-level tone. The selector selects, according to the detection result by the edge detection unit, either the result from the calculation unit or that from the screen processing unit.

Abstract: Systems, methods, and apparatus for sampling images using edge detection are presented herein. A gradient component can calculate at least one gradient of a luminance of a block of pixels based on at least one direction; and select a minimum gradient of the at least one gradient of the luminance. Further, a direction component can determine a direction of the block based on a direction of the minimum gradient of the at least one gradient of the luminance. Moreover, a sampling component can alternately select subpixels of the block based on the direction of the block. In addition, a filter component can calculate at least one gradient of a color of a subpixel of the subpixels based on the at least one direction; determine a direction of the subpixel based on the at least one gradient of the color; and filter the subpixels based on the direction of the subpixel.

Abstract: A block noise reduction system and method which may determine a feature value of a local texture at each location of input pixel, may selectively determine 1D filtering mode or 2D filtering mode as a filtering mode based on the determined feature value, and may perform filtering to preserve an edge according to the determined filtering mode.

Abstract: One or more implementations access a digital image containing one or more bands. Adjacent bands of the one or more bands have a difference in color resulting in a contour between the adjacent bands. The one or more implementations apply an algorithm to at least a portion of the digital image for reducing visibility of a contour. The algorithm is based on a value representing the fraction of pixels in a region of the digital image having a particular color value.

Abstract: An ink jet printing apparatus that improves the visibility of a character and its background in different colors or of outline characters is provided. Specifically, outline character bold data is inverted and each of the pixels in the data is expanded to adjacent eight pixels. Then, the expanded outline character is processed into expanded inverted data. The logical AND of the inverted expanded data and K data on a background image is then calculated to generate K data with the outline character expanded. This results in an image with the outline character expanded. That is, the present invention enables characters with improved visibility and free from blurredness to be printed while preventing the adverse effect of bleeding on the outline character.

Abstract: In one embodiment an electronic device comprises an input/output module, a memory coupled to the input/output module, and logic to store a first image of a face in the memory module, associate an identity with the first image of a face, subsequently collect a second image of a face, determine a correlation between features on the first image of a face and the second image of a face, and store the correlation between the first image and the second image. Other embodiments may be described.

Abstract: A map editing system for processing map data in order to reduce discrepancies between geometric objects in the map data through the use of a cost function. The system selects a polygon shaped object (e.g., a park) for processing. The polygon may be located close to several polyline objects (e.g., streets) or other polygon objects so that discrepancies, such as open spaces, appear between the objects when displayed together in a map. To eliminate these discrepancies while maintaining the overall appearance of the polygon, the system repeatedly adjusts the border of the polygon until the attributes of the polygon minimize a cost function.

Abstract: A method includes detecting one of an application access or a file type access, and configuring, in response to detecting the application or file type access, automatically without user interaction, a display system in an image quality configuration for the application or the file type where the image quality configuration is based on providing best image quality with respect to the application or the file type. Configuring the display system in an image quality configuration, may involve determining that a profile associated with the application or associated with the file type is stored in memory, and configuring the display system according to the profile. The method may adjust at least one anti-aliasing parameter or at least one anisotropic filter parameter. The method may monitor an operating system to obtain an indication that an application has been accessed or that a file type has been accessed.

Abstract: The present invention relates to an image interpolation method based on matrix and an image processing system. The image processing system first determines a gradient direction of an image region formed by a pixel dot array containing an interpolation point, and then based on the gradient direction and a position of the interpolation point, determines a triangle for interpolation in the image region formed with the pixel dot array, and finally, based on pixel values of pixel dots corresponding to three vertexes of the determined triangle and a distance from the interpolation point to a vertex of the triangle, calculates a pixel value of the interpolation point. Thus, the problem of edge jag or sawteeth of details in an oblique direction of a zoomed image is effectively solved, and a high-quality image is obtained. Furthermore, for the method the calculation is simple, and the computation load is light.

Abstract: A pixel defect correction device includes: a defect determining section determining whether a pixel of interest of an image, in which pixels each having a pixel value are arrayed in a two-dimensional manner, is a defect of the image; a gradient detecting section detecting a gradient or an edge in a processing region, which includes pixels with the pixel of interest in the middle, based on values of at least peripheral pixels around the pixel of interest which are included in the processing region; a correction value acquisition section selecting a pixel, which is used for acquisition of a correction value of the pixel of interest, according to the detected gradient or edge and acquiring the correction value from a value of the selected pixel; and a defective pixel replacing section replacing the value of the pixel of interest with the correction value when the pixel of interest is determined to be a defect.

Abstract: An image processing device includes: a transformation ratio calculation unit which calculates transformation ratio of an image after transformation, the image after transformation being obtained by transforming an original image under predetermined rule; a filter coefficient calculation unit which calculates filter coefficients based on the transformation ratio; and a pixel value calculation unit which calculates the pixel value of each pixel in the image after transformation using the filter coefficients and outputs the pixel value of the image after transformation as image data after transformation.

Abstract: An image processing apparatus and method is provided which performs anti-aliasing on input image data. The apparatus and method may be utilized to improve resolution of, for example, images formed by a group of dots and lines, such as characters and marks. The apparatus and method disclosed herein can perform anti-aliasing with a lighter processing load than previously disclosed methods.

Abstract: An image signal processor for image enhancement is provided. The image signal processor receives a first, a second, and a third component of an RGB signal of each pixel of an image, and has: an image enhancer for performing image enhancement on the first component of the RGB signal to produce a first enhanced component of the RGB signal; a gain generator, coupled to the image enhancer, for producing an enhancement gain based on the first component and the first enhanced component of the RGB signal; and a gain multiplier, coupled to the gain generator, for performing image enhancement on the second and the third component based on the enhancement gain to produce a second and a third enhanced component.

Abstract: A system for processing video data to improve image quality at low data rates comprising an encoder generating an entropy signal representing the relative entropy of the video data and a plurality of filters each receiving the entropy signal and a threshold setting and filtering the video data if the entropy signal is greater than the threshold setting.

Abstract: An image processing apparatus includes a storage that stores, therein, edge position data indicating the position of a first edge image that represents a first edge of a first object image representing an object in a first image, a determination portion that detects a second edge image based on the edge position data and a specific scaling factor, the second edge image representing a second edge of a second object image that represents the object in a second image, the second image being obtained by modifying the size or the resolution of the first image by increasing the number of pixels by ? times (?>1) corresponding to the scaling factor, the second edge having a width equal to that of the first edge, and a removal portion that performs a process for deleting an edge of an inner area surrounded by the second edge image.

Abstract: A system to reduce aliasing in a graphical image includes an edge detector configured to read image depth information from a depth buffer. The edge detector also applies edge detection procedures to detect an object edge within the image. An edge style detector is configured to identify a first edge end and a second edge end. The edge style detector also identifies an edge style associated with the detected edge based on the first edge end and the second edge end. The system also includes a restoration module configured to identify pixel data associated with the detected edge and a blending module configured to blend the pixel data associated with the detected edge.

Abstract: According to the present invention, there is provided a color image forming apparatus which includes image forming units forming images, each for each color component, and superimposes the images of the color components on one another to form a color image. The image forming apparatus includes a scan line changing unit shifting the position of each pixel in a sub scanning direction for each color component of halftone image data to be processed so as to cancel a shift amount of a scan line on an image carrier in each of the image forming units in the sub scanning direction; an interpolation inhibited area determining unit determining an interpolation inhibited area in the image data; and an interpolation unit applying an interpolation process for smoothing a pixel-level shift caused by shifting of image data by the scan line changing unit to the image data excluding the interpolation inhibited area.

Abstract: Disclosed herein are various embodiments of decoding systems and methods. In one embodiment, among others, a decoding system comprises a de-blocking system configured to receive decoded video data and decoding information and remove blocking artifacts from the decoded video data, and a de-ringing system configured to remove ringing artifacts from the de-blocked video data.

Abstract: An image forming apparatus capable of reducing a stitch effect, an image forming system including the same, and a printing method thereof. The printing method of the image forming system includes inputting image data to be printed; and, if adjacent first and second objects included in the input image data have different LPIs (Lines Per Inch), emphasizing at least one of boundaries of the first and second objects and printing the image data with an emphasized boundary.

Abstract: The present disclosure relates generally to cell phones and cameras, and to shadow detection in images captured by such cell phones and cameras. One claim recites a method comprising: identifying a shadow cast by a camera on a subject being imaged; and using a programmed electronic processor, redressing the shadow in connection with: i) reading a digital watermark from imagery captured of the subject, or ii) calculating a fingerprint from the imagery captured of the subject. Another claim recites a method comprising: identifying a shadow cast by a cell phone on a subject being imaged by a camera included in the cell phone; and using a programmed electronic processor, determining a proximity of the camera to the subject based on an analysis of the shadow. Of course, other claims and combinations are provided too.