Abstract: An image generation method for generating image information of an image C by using an image A and an image B having a resolution higher than that of image A. Image C having the same resolution as image B is generated by enlarging image A; presence or absence of a point in image B corresponding to each pixel position of image C and the position of the relevant corresponding point are estimated; and to each pixel position in image C for which it is estimated that there is a corresponding point, image information of the corresponding position in image B is assigned. It is possible to generate image information at each pixel position in image C for which it is estimated in the corresponding point estimation that there is no corresponding point, by using the image information assigned according to an estimation result that there is a corresponding point.

Abstract: An image processing apparatus includes a region determination unit detecting attributes of image data generated by a reading unit; an image modification unit generating attribute data based on the results of the determination performed by the region determination unit; an image conversion processing circuit performing resolution conversion processing on the image data of a pixel of interest; and an attribute conversion processing circuit performing resolution conversion processing on the attribute data of the pixel of interest.

Abstract: An image pickup apparatus includes an image sensor including a color filter having pixels of different colors arranged in a predetermined order and a demosaic processor. The image sensor receives a subject image and outputs an image signal including color signals of the different colors. The demosaic processor generates color signals of the different colors for each of pixels of the image from the image signal. The demosaic processor includes a generation unit and a noise reduction unit. The generation unit performs computation using a target color signal representing a predetermined target color signal included in the image signal and a predetermined different color signal so as to generate a color-related signal that associates the target color signal with the predetermined different color signal for a pixel of the target color signal. The noise reduction unit performs a noise reduction process on the color-related signal generated by the generation unit.

Abstract: This invention concerns the interpolation of new intermediate images within an existing set of related images, for example views of a scene captured at different times, such as a sequence of film frames or video fields, or views of a scene captured from different camera positions, either simultaneously or in a time sequence. Motion vectors established for pixels or regions in at least one existing image are used to shift those pixels or regions to the output position of the new image. The shifted pixels or regions are combined in dependence on a probability of accuracy measure for the respective motion vector. The probability of accuracy measure may be formed from displaced-field difference measurements. The occlusion of objects is determined and used in forming the probability of accuracy measure.

Abstract: An image reading apparatus includes a fingerprint sensor that acquires a plurality of first images obtained by successively reading the portions of a relatively moving object, an extrapolation section that extrapolates the plurality of first images to generate a plurality of second images obtained by extending the image area of the first image, and a relative position detection section that calculates the relative position between the plurality of images or the plurality of second images based on a plurality of images including at least the plurality of first images or the plurality of second images.

Abstract: An image processing apparatus generating output image pixels from groups of one or more input image pixels, the groups selected in accordance with an image feature direction in the input image. An interpolator interpolates intermediate pixels between the input image pixels, and a block comparator detects correlation between sets of test blocks of pixels in the input image, which sets are oriented with respect to a current pixel position so that the orientation of a set having the greatest correlation indicates a probable image feature direction applicable to the current pixel position. For at least some sets of test blocks having an orientation with respect to the current pixel position within a predetermined range around a vertical orientation, the test blocks include the input image pixels and intermediate pixels interpolated from the input image pixels. For other sets of test blocks, the test blocks include only the input image pixels.

Abstract: In an image displaying device provided with a frame rate conversion (FRC) portion, the image quality deterioration in a moving image likely to include a plurality of the same consecutive images due to a FRC processing is prevented. The FRC portion (100) of the image displaying device includes a motion vector detecting portion (101) that detects motion vector information from an input image signal, an interpolation frame generating portion (106) that generates interpolation frames based on the motion vector information obtained by the motion vector detecting portion (101) and a same image detecting portion (105) that detects a case where the same images continue in the input image signal.

Abstract: A computer-implemented method for generating a modified image includes initiating, in a computer device, a patch-based optimization algorithm for using a first image to generate a second image. The method includes identifying, in a computer device, a first feature of a first image. The identification corresponds to a constraint on the first feature for generating a second image, The constraint restricts at least one of location and geometric orientation in the second image of patches representing the first feature. The method includes identifying, using the computer device, contents for the second image by processing patches in the image in iterations of the patch-based optimization algorithm. The patch-based optimization complies with the constraint, The method includes generating the second image from the identified contents based on the iterations of the patch-based optimization algorithm. The second image includes a second feature generated to represent the first feature and complying with the constraint.

Abstract: An image generation method for generating image information of an image C by using an image A and an image B having a bit depth higher than that of image A. Image C having the same bit depth as image B is generated by increasing the bit depth of image A by means of tone mapping; presence or absence of a point in image B corresponding to each pixel position of image C and the position of the relevant corresponding point are estimated; and to each pixel position in image C for which it is estimated that there is a corresponding point, image information of the corresponding position in image B is assigned. It is possible to generate image information at each pixel position in image C for which it is estimated in the corresponding point estimation that there is no corresponding point, by using the image information assigned according to an estimation result that there is a corresponding point.

Abstract: The present invention relates to a data conversion apparatus and a learning device in which an image can be converted into a higher-quality image. A class-tap generating circuit (2) and a predictive-tap generating circuit (3) respectively generate from an SD image a class tap for classifying a specified pixel of an HD image and a predictive tap for determining the specified pixel. A classification circuit (4) classifies the specified pixel based on the class tap. A coefficient RAM (5) obtains a tap coefficient for the class of the specified pixel from tap coefficients obtained by using supervisor pixels and learner pixels and by learning the relationship between the supervisor pixels and the learner pixels for each of at least one class while applying weighting to the supervisor pixels and the learner pixels based on the activity of the predictive tap generated from the learner pixels. A predictive-computation circuit (6) determines the specified pixel by using the tap coefficient and the predictive tap.

Abstract: When an interpolation point is interpolated using a curve/curved surface, represented by control points, such as a B-Spline curve/curved surface or a subdivision surface, interpolation processing is performed in such a way that a moving vector for moving each control point is calculated using position information on interpolation points constituting the point group, as well as vector information on the unit direction vector that is set for each interpolation point, and the control point is moved in the movement direction and for the movement amount of this moving vector. By, repeating the generation step of a curve/curved surface that interpolates the interpolation point and the movement step of the control point, the position of a new control point is found that fits the curve/curved surface to the positions and the unit direction vectors of the point group.

Abstract: Embodiments of the present invention are directed to an image processing system. The image processing system may comprise a content detection module having an input to receive a sequence of input pixels and configured to generate an adjustable parameter based on detected differences between adjacent pairs of input pixels, and a digital filter having an input for the sequence of input pixels and a control input coupled to an output of the content detection module. The digital filter may adjust filtering coefficients according to the parameter.

Abstract: This apparatus obtains a mapped position (xo, yo) of (xi, yi), acquires (xi?, yi?) by performing inverse mapping for each reference position being based on (xo, yo), obtains (xi?, yi?) by performing inverse mapping for integer parts xoc and yoc of xo and yo respectively, and performs interpolation using fraction parts of x- and y-coordinates of a position, of (xi?, yi?) and (xi?, yi?), whose integer parts of the x- and y-coordinates respectively coincide with xi and yi, and peripheral pixel values of (xi, yi).

Abstract: Super-resolution processing is regarded as a kind of intersample interpolation process and performed by using a linear interpolation filter designed according to sampled-data control theory. In an error-system model used in the process of designing the filter, a pre-filter is disposed before a sampler and a post-filter is disposed after the zero-order hold in a signal restoration system. At least either one of the characteristic Q(s) of the pre-filter or the characteristic P(s) of the post-filter is designed to be a low-pass characteristic, whereby the gain of the characteristic K(z) of a digital filter within a middle-to-high frequency range is raised. Raising the gain makes jaggies more prominent. To reduce this effect, in an actual processing system, the image to be processed is passed through a low-pass filter to reduce high-frequency components before the linear interpolation is performed.

Abstract: An information processing device for tracking the image of a tracking point within a moving image wherein contents, of multiple images which are continuous temporally, are discontinuous temporally, includes: a block-matching unit for performing block matching within the moving image, wherein a processed image and an image prior to the processed image are compared to determine the position of the tracking point within the processed image; an interpolation unit for performing interpolation processing wherein the position of the tracking point within an image not subjected to the block matching, which is an image before or after the processed image within the moving image, is determined as the position of the tracking point within the processed image; and a motion-vector calculating unit for obtaining the motion vector of the tracking point based on the position of the tracking point within the processed image determined by the block-matching unit or interpolation unit.

Abstract: 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.

Abstract: An apparatus and a method of interpolating an image via a region division are provided. To improve an image quality artifact around an edge, the apparatus to interpolate the image may determine whether an inputted image corresponds to an edge after performing a thinning process with respect to a gradient value of the inputted image, and convert a resolution of the image using optimal location information via a region division and a pixel replacement according to an interpolation direction of the image.

Abstract: An image processing apparatus, in which an interpolation frame is inserted between a current frame and a first delayed frame preceding the current frame by one frame, includes a motion vector detector, a motion vector converter, and an interpolation frame generator; wherein the motion vector detector includes a test interpolator outputting test interpolation data, an interpolation data evaluator evaluating a correlation of each of the test interpolation data with reference to the first-delayed-frame block data, thereby outputting evaluation data indicating results of the evaluating, and a motion vector determiner outputting a motion vector of an item of the evaluation data having highest correlation in the plurality of items of the evaluation data; and the first to third test interpolation data are obtained as the test interpolation data from a plurality of items of the second-delayed-frame block data and a plurality of items of the current-frame block data.

Abstract: A forward interpolation approach is disclosed for enabling a second version of an image to be constructed from a first version of the image. According to one implementation, pixels from the first version of the image are mapped to pixels in the second version of the image, and pixel values are determined for the corresponding pixels in the second version of the image. In one implementation, the pixel mapping is performed using a lookup table and linear approximation. Performing the pixel mapping in this manner enables computations to be simplified and cost and gate count to be reduced.

Abstract: To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames FrN and FrN+1, there is estimated a correspondent relationship. Based on the correspondent relationship, the frames FrN+1 and FrN are interposed to obtain first and second interpolated frames FrH1 and FrH2. Based on the correspondent relationship, the coordinates of the frame FrN+1 are transformed, and from a correlation value with the frame FrN, there is obtained a weighting coefficient ?(x°, y°) that makes the weight of the first interpolated frame FrH1 greater as a correlation becomes greater. With the weighting coefficient, the first and second interpolated frames are weighted and added to acquire a synthesized frame FrG.

Abstract: Systems, methods, and other embodiments associated with image scaling are described. According to one embodiment, a method acquiring a set of amplitude values describing pixels in an image. Image scaling is performed on the image. A target pixel is identified from the set of pixels. A preceding pixel is identified to the target pixel. An amplitude range of amplitudes is defined between the amplitude of the preceding pixel and the target pixel. It is determined whether the interpolation between the preceding pixel and target pixel will result in an interpolated pixel having an interpolated amplitude outside of the amplitude range. Based on this determination, an interpolation slope is selected that reduces overshoot or undershoot in interpolation pixels generated between the target pixel and the preceding pixel.

Abstract: A correlation value calculation circuit calculates respective correlation values of each pixel for color image or for gray image in four directions. A selection circuit determines respective correlation values (Cv, Ch, CdA and CdB) in the four directions on the basis of a chroma evaluation value. A first correlation judgment circuit determines a correlation direction of a specified pixel from the correlation values (Cv, Ch, CdA and CdB). A first interpolation circuit performs color interpolation on the basis of the determined correlation direction. A color-interpolated image is enlarged by an enlargement circuit. A correlation direction interpolation circuit performs enlargement and interpolation of the correlation direction determined by the first correlation judgment circuit. A filter performs a filtering process for each of pixels of the enlarged image by using the interpolated correlation direction for enlargement.

Abstract: An image processing method for boundary resolution enhancement is disclosed. Firstly, an image is transferred into an image layer. Noise of the image layer is removed by a bilateral filter and crisp edges are retained at the same time. Moreover, the image layer is interpolated by an interpolation filter for resolution enhancement. The image processing method of the present invention can lower the image blur degree substantially, enhance the image resolution and be widely implemented in all sorts of image/video processing hardware devices.

Abstract: The present disclosure relates to a method and apparatus for interpolating a reference picture and a method and apparatus for encoding/decoding a video using the same. The apparatus for interpolating the reference picture selects a plurality of filters for interpolating the reference picture and generates a reference picture having a target precision through a multi-stage filtering of the reference picture by using a plurality of filters. The compression efficiency of the video may be improved by interpolating a reference picture through the determination of a filter of a filter coefficient for interpolating the reference picture according to characteristics of the video and interpolating the reference picture through a multi-stage filtering or adaptively changing resolutions of motion vectors in the unit of predetermined areas.

Abstract: According to various embodiments, a method is provided for improving data and a system is provided that is configured to perform the method. The method can comprise processing a data signal by using an optical system comprising a signal processor. The method can comprise collecting data generated by the optical system, wherein the data comprises non-uniformly sampled data. The method can comprise performing an interpolation operation on the non-uniformly sampled data using the signal processor, to generate interpolated data. Further, the method can comprise adjusting the data with the interpolated data using the signal processor, to generate improved data. The improved data can be output to a user, for example, by displaying the improved data on a display unit, or by printing out the improved data. According to various embodiments, the data can comprise any desired data, for example, image data.

Abstract: It is possible to provide an image processing device, a method, and a program which can prevent image degradation which occurs when modifying the image magnification. The image processing device includes: an image input unit (10) which performs an image input; an edge direction calculation unit (24) which detects the edge direction contained in an image inputted by the image input unit (10); and an interpolation position decision unit (26), an interpolation object pixel decision unit (28), a first direction interpolation unit (30), and a second direction interpolation unit (32) which perform an interpolation process in the edge direction detected by the edge direction calculation unit (24) on the image inputted by the image input unit (10).

Abstract: A method for increasing the resolution of a digital image comprising: receiving an input digital image of a scene; interpolating a high-resolution image using an interpolation function; receiving a blur kernel associated with the interpolation function; initializing a candidate sharp high-resolution image; determining a plurality of differential images representing differences between neighboring pixels in the candidate sharp high-resolution image; determining a combined differential image by combining the differential images; repeatedly updating the candidate sharp high-resolution image responsive to the interpolated high-resolution image, the blur kernel, the candidate sharp high-resolution image and the combined differential image until a convergence criterion is satisfied; and storing the final candidate sharp high-resolution image in a processor-accessible memory system.

Abstract: A technique is disclosed for reducing noise in a medical image, wherein plural anisotropic areas continuous with a pixel-of-interest contained in the medical image are set with the pixel-of-interest being centered a statistical amount of pixel values of pixels constituting each anisotropic area is calculated with respect to each of the plural anisotropic areas, and either an anisotropic area having the minimum statistical amount out of the plural anisotropic areas is determined and an anisotropic shape filter in the same direction as the anisotropic area concerned is constructed, or an anisotropic area having the maximum statistical amount out of the plural anisotropic areas is determined and an anisotropic shape filter is constructed by clockwise or counterclockwise rotating the anisotropic area concerned around the pixel-of-interest by 90° .

Abstract: The present invention provides an image processing device, a color correction table generation device, a display device, an image processing method, a color correction table generation method, a color adjustment method of a display device, and an image processing program capable of color matching to preferred colors of which excessive emphasis in chroma is suppressed. There are provided a chroma limit setting section for setting a chroma limit based on a optimal color, and a color correction table generation section for generating a color correction table by making a correspondence between an input color and an output color having chroma no greater than a chroma limit. The color correction table is stored in a color correction table storage section. The color correction execution section executes color correction along the color correction table so that the projector outputs a color with chroma no greater than the chroma limit.

Abstract: An image processing apparatus includes: a color difference calculating unit for generating an (R?G)G(B?G) Bayer array image from an RGB Bayer array image; a band-limited interpolation unit for interpolating a sampling position whose number is smaller than the number of U pixel to obtain an equal number of interpolation (R?G), G, and (B?G) pixels from the (R?G)G(B?G) Bayer array image: and an RGB calculating unit for obtaining interpolation R, G and B pixels which constitute a color image with the sampling position where R, G and B pixels coincide, based on the obtained interpolation (R?G), G, and (B?G) pixels.

Abstract: For providing a technology for preferably achieving high resolution of video signals of a video signal or moving video, with a small number of frames thereof, a video signal processing apparatus comprise an input unit to be inputted a plural number of video frames, a resolution converter unit, having resolution converting characteristics differing from each other, depending on a direction thereof, by composing 2 pieces of the video frames from the inputted video frames, thereby increasing a number of pixels making up the video frames, and a mixer unit for obtaining the output video frame by mixing output results of the resolution converter unit.

Abstract: An image interpolation device comprises a data storage unit (2) for storing the data in the neighborhood of a missing pixel, a filter interpolation unit (3) for performing a multiply-add computation on the data output from the data storage unit, a limiter processing unit (4) for limiting the data output from the filter interpolation unit to within the range of the data output from the data storage unit, and an interpolation data insertion unit (5) for interpolating the data output from the limiter processing unit into a position corresponding to the missing pixel in the data output from the data storage unit. The image interpolation device is capable of increasing the interpolation accuracy of missing pixels, especially in the interpolation of scanned document data including periodic data.

Abstract: An image processing method executes image processing to correct a non-uniform perceived resolution caused by image distortion correction, thereby achieving a uniform perceived resolution over an entire displayed image. The image processing method includes the step of adjusting an aperture compensation signal using distortion correcting data to correct a non-uniform perceived resolution caused in an image through partial conversion of magnification ratio by image distortion correction, thereby achieving a uniform perceived resolution.

Abstract: In order to reduce wasteful operation processes by operation units, a data supply unit reads out a plurality of pieces of pixel data from an image memory and temporarily stores the pixel data in registers, and outputs the pixel data while shifting the pixel data in one direction; product-sum operators concurrently perform operation processes based on multiple pieces of pixel data outputted from the data supply unit and filter coefficients in a filter kernel. At this time, a selector within the data supply unit selects the pixel data stored in each register in accordance with the type of the filter operation process, and outputs the selected pixel data to the product-sum operators.

Abstract: A method and computer program for segmentation of an MRI image of tissue in presence of partial volume effects, include storing the MRI image in K-space representation as raw dataset, reconstructing N images, each represented by N sets of voxels and N sets of light intensity values, dividing each voxel into a fixed number of subvoxels equal in size, assigning the light intensity value of the voxel to its subvoxels, classifying each subvoxel according to light intensity value, identifying a totality of subvoxels classified with equal probability for a totality of tissue types, labeling the subvoxels as partial volume subvoxels, shifting N?1 images starting with the second image by one subvoxel relatively to the preceding image and gene-rating a new set of overlay subvoxels, determining a new set of probability values for the new set of overlay subvoxels and creating an overlay image of the new set of overlaid subvoxels.

Abstract: In a method for color interpolation between two colors, each interpolated color between a first color having at least two color components and a second color having at least two color components, is defined by copying at least one color component from a corresponding color component of a neighboring color and calculating at least one other color component.

Abstract: A vector interpolator optimizes the conversion of an interlaced signal to a non-interlaced signal. The vector interpolator improves the visual clarity of slanted features in a displayed image by adjusting the luminance value of each pixel such that the appearance of “steps” or “jaggies” in the features is reduced. For each pixel, the vector interpolator determines a similarity measure for the pixels within a predetermined area around the pixel. From the similarity measure, an angle for interpolation is selected. The luminance value is then interpolated along the selected vector corresponding to the angle and applied to the pixel. One or more ambiguity measures such as a local edge count ambiguity measure may also be computed to indicate the reliability of the computed luminance value.

Abstract: Systems and methods for generating efficient transformed input image address sets for producing a multi-pane output image from an input image are disclosed. The input address sets may be generated by applying a first transformation corresponding to one pane of the output image to output pixel addresses to create first transformed input addresses, applying a second transformation corresponding to another pane to the output image pixel addresses to create second transformed input addresses, and storing, for one output pixel address, a first transformed image pixel address and a second transformed input pixel address and, for another output pixel address, including a first transformed input pixel address, but no second transformed address.

Abstract: A video enhancement method is disclosed. An input image is retrieved and it is determined whether an enhancement mode is implemented to the input image. If so, motion detection is implemented to the input image that only enhancement coefficients of varied pixels of the input image are recalculated and the enhancement coefficients are updated to an enhancement coefficient table. Based on the enhancement coefficient table, pixel colors of the input image are adjusted and the adjusted image is output.

Abstract: 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.

Abstract: A system and method for providing a high resolution texture within an image, comprising means to receive texture information contained within a low resolution image and to generate at least a first and a second signal based on the received texture information, wherein the first signal comprises high frequency parts of the received texture information, means to resynthesize the first signal by inserting a plurality of parts of the low resolution image into the high resolution image in an appropriate combination, means to interpolate the second generated signal and means to combine the resynthesized first signal with the interpolated second signal.

Abstract: The present invention provides a method for retargeting an image, comprising determining a total block structure energy of an input image content. A compressibility rate of the input image content is determined based on the total block structure energy. An optimal scaling factor of the input image content is obtained. The input image content is warped by using a new coordinate matrices and uniformly scaling the input image content to a target image resolution.

Abstract: A resolution converting method for converting a resolution of a binary image to an integral multiple resolution, includes: representing a density of an arbitrary position of the input image as an interpolation value; overlapping the output image on the input image in a setting that a pixel of an edge section of the output image is shifted by a minutely small quantity from a pixel position of the input image in a horizontal direction and a vertical direction; and allotting an area of a pixel to each pixel of an output image which overlaps an area of the input image, integrating interpolation values of the area of the input image, normalizing an value obtained by the integrating the area of the pixel, and determining a binary data.

Abstract: Systems, methods, and techniques are provided for performing any one or more of edge-preserving image sharpening, edge-preserving image smoothing, edge-preserving image dynamic range compression, and edge-aware data interpolation on digital images, wherein a pixel prediction module is adapted for coupling to a memory storing pixel data representative of a digital image and extracts from the image predicted pixel values using robust smoothing. The predicted pixels are stored in a memory and respective detail values equal to the difference between respective original and predicted values are computed. A pixel update module computes approximation values by averaging the respective detail values with original pixel values using robust smoothing, and stores the approximation values for subsequent rendering.

Abstract: An image processing apparatus includes a computation unit that determines an interpolation process starting point and gradient on the basis of a change point at which a difference between pixel values of adjacent pixels of an image signal is greater than zero and is less than or equal to a predetermined threshold value, wherein a position of a pixel scanned earlier or later than the change point by substantially one-half a continuous width of pixels having an identical grayscale value is set as the starting point and the gradient is determined based on a difference between pixel values before and after the change point and the continuous width, and a conversion unit that converts pixel values of the image signal on the basis of the determined starting point and gradient so that a grayscale change from the interpolation process starting point in the image signal corresponds to the gradient.

Abstract: A system and method for video frame interpolation are disclosed. In one embodiment, the method comprises receiving first motion estimation data representing estimated motion of blocks between a first frame and a second frame, receiving second motion estimation data representing estimated motion of blocks between the second frame and a third frame, determining whether an area in an interpolated frame between the first and second frame is an occlusion area based at least in part on the first and second motion estimation data, and estimating characteristics of pixels of the area based in part on the determination.

Abstract: An array of texture data elements (texels) is subdivided into a plurality of 8×4 texture element blocks, each of which 8×4 texture element blocks encodes two 4×4 texture element sub-blocks 3, 4. Each encoded texture data block includes data indicating a method to be used to generate a set of color values to be used for the texture elements that the encoded data block represents, and data indicating a method to be used for generating the colors of the individual texture elements using that generated set of colors. As well as the individual texture data blocks, a header data block encoding a base set of colors is generated. This base color set defines a set of colors that is used to generate the colors to be used when reproducing each individual encoded texture data block.

Abstract: Methods and apparatus for achieving color and luminance uniformity in color output devices. In one embodiment, measurements of luminance and chrominance are taken at various regions of the display surface for a range of color inputs. Using the collected data, a color volume is formed for each of the measured regions. This color volume comprises a set of all colors producible at the measured region. The color volumes for each of the measured regions are then used to generate a common color gamut, i.e., a volume of colors that are producible in each of the measured regions. A gamut mapping can then be performed for all or a portion of the positions on the display surface to a target color gamut. Input data for the gamut mapping process may be determined by conventional interpolative techniques.

Abstract: An image interpolation processing device is provided for interpolating at least one line between two adjacent lines. A prefetch unit is to prefetch pixel data of the two adjacent lines with a predetermined pixel length, so as to obtain a plurality of basic characteristics that are then stored in a first register. A characteristic processing unit is used for cutting and/or linking the basic characteristics to generate at least one set of linked characteristics. The linked characteristics are stored in a second register, as a reference for an operation unit to perform the interpolation. The operations between the operation unit and the prefetch unit are separated by a predetermined edge length.

Abstract: To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames FrN and FrN+1, there is estimated a correspondent relationship. Based on the correspondent relationship, the frames FrN+1 and FrN are interposed to obtain first and second interpolated frames FrH1 and FrH2. Based on the correspondent relationship, the coordinates of the frame FrN+1 are transformed, and from a correlation value with the frame FrN, there is obtained a weighting coefficient ? (x?, y?) that makes the weight of the first interpolated frame FrH1 greater as a correlation becomes greater. With the weighting coefficient, the first and second interpolated frames are weighted and added to acquire a synthesized frame FrG.