Abstract: A scanning apparatus includes a scanning head that scans an image of a document positioned on a stage glass, but varying in its distance therefrom. A boundary line is detected to determine an amount of skew therein. A skew line is compared with an established reference line, and a correction factor is calculated based on the result of the comparison. The original image processed to map the boundary line to the reference line and image data inside of the boundary line is similarly mapped based on the calculated correction factor. Beneficially, skews of an image produced when a thick book is scanned can be corrected simply.

Abstract: Image transforms that can be performed through a reverse lookup process in which output pixel addresses of an output image are reverse transformed into input pixel addresses. In some embodiments, rather than reverse transforming all output pixel addresses, a subset of output pixel addresses can be reverse transformed to calculate transformed addresses. The reverse transforms of all output pixel address may then be approximately calculated by interpolating the transformed addresses. The approximately transformed addresses can then be used as read addresses to a memory storing the input image.

Abstract: An image processing device includes: an interpolation unit configured to perform interpolation along each of a plurality of directions in a neighbor region of a predetermined pixel of interest in an input image, and generate interpolation values for each; a chroma signal alias intensity calculating unit configured to calculate alias intensities of chroma signals from interpolation values of each of the plurality of directions from the interpolation unit; and a direction evaluation unit configured to generate evaluation values corresponding to each of the plurality of directions, based on the alias intensity of each of the chroma signals of the plurality of directions from the chroma signal alias intensity calculating unit.

Abstract: A method processes and transmits of data in which image data of an image in the transmitter are provided at a first resolution level and at a second resolution level, higher than the first resolution level. At least one interpolation parameter is fixed, for the determination of image data of the second resolution level form image data of the first resolution level. At least some of the image data of the first and the second resolution levels are transmitted, whereby the transmission of the image data the second resolution level depends on at least one fixed interpolation parameter. Furthermore, a definition of the at least one fixed interpolation parameter is transmitted.

Abstract: A method and apparatus for determining missing color pixel values in image data (i.e., for demosaicing image data) using a small number of lines in a buffer memory. Pixel values are interpolated in a horizontal or a vertical direction based on gradient scores. Interpolation direction selection can be refined based on a chroma scores or morphological operations. A chroma blurring technique to reduce false color artifacts is also disclosed. A disclosed embodiment can be implemented in an imager having as few as three buffer lines.

Abstract: A method for interpolation includes receiving an input image having a plurality of pixels and estimating an edge direction proximate a first pixel of the input image using a first technique from a plurality of discrete potential directions. Interpolating pixels using a substantially arbitrary scaling factor proximate the first pixel based upon the estimated edge direction and interpolating pixels using substantially arbitrary scaling factor proximate the first pixel based upon another technique not based upon the estimated edge direction. The interpolated pixels are determined for an output image having more pixels than the input image based upon the interpolated pixels of step (c) and step (d).

Abstract: Interpolation of signed values A and B is efficiently performed by simple circuitry. To calculate an interpolated value C based on a 4-bit values A (bits a3a2a1a0) and B (bits b3b2b1b0) expressing a negative number by twos complement notation and a 4-bit interpolation rate D (bits d3d2d1d0) consisting of only a decimal part, a basic expression of C=(1?D)*A+D*B is transformed into an expression composed of an unsigned part that includes a sum of products with a bit di or a logically inverted value ei of the bit di (i=0, 1, 2, and 3), and indicates an absolute value of the interpolated value C, and a signed part indicating a sign of the interpolated value C. Then, 7 bits of bits c6 through c0 are generated from an arithmetic operation of the unsigned part, and logic judgement of the signed part is performed by considering a carry from the digit of the bit c6 of the arithmetic operation of the unsigned part to generate a bit c7.

Abstract: A method (700) of determining an image value at a sample position of an output image, is disclosed. The method (700) comprises the steps of determining orientation of an isophote (e.g., 1010) passing through the output sample position and determining a period of intensity variation along the isophote (1010). The method (700) determines the image value at the sample position of the output image based on the period of intensity variation and outputs the determined image value at the sample position of the output image.

Abstract: A method for deinterlacing video includes constructing a temporary frame of deinterlaced video based on a first (i.e., current) field of interlaced video, wherein the temporary frame includes pixels in lines of the temporary frame associated with the first field of interlaced video, placeholder pixels in identified areas of motion in lines of the frame associated with a missing field of interlaced video, and pixels from an opposite field of polarity of interlaced video in areas without motion. The method further includes replacing the placeholder pixels in the identified areas of motion with pixels interpolated using an edge direction interpolation scheme based on pixels in the first field of interlaced video, resulting in a reconstructed frame. In one example, a motion adaptive interpolator may construct the temporary frame, and an edge directional interpolator may generate the reconstructed/deinterlaced the frame.

Abstract: Methods for gamut mapping and boosting a color saturation of a color signal having multiple colors and a color value for each color. An example method includes mapping each color from a first to a second color space, adjusting each color in the mapped color signal including boosting a color saturation; determining a maximum color value of the color signal; and, in response to a determining that the maximum color value exceeds a maximum displayable color value, setting the color value of the color having the maximum color value to be equal to the maximum displayable color value and scaling color values of colors not having the maximum color value.

Abstract: A method for processing imagery includes receiving data for a first image associated with a first spectral band and second images associated with second spectral bands. The method also includes obtaining first reflectance functions for pixels in the second images, generating a second reflectance function for pixels in the first image based on the first reflectance functions, and obtaining a third reflectance function for pixels in the first image based on the second reflectance function, the imagery data for the first image, and at least one facet orientation constraint. The method further includes modifying the first reflectance functions to generate fourth reflectance functions for pixels in the second images based on a difference between the second and the third reflectance functions, and computing imagery data defining third images associated with the second spectral bands and having the first spatial resolution based on the fourth reflectance functions.

Abstract: A client device receives a user interface event corresponding to a spline curve associated with an object displayed on a mobile device. The user interface triggers creation of a new spline curve based on computation of a new spline tangent associated with the spline curve and phase space-based dynamics of a new state. A scene graph having state information associated with the new state is maintained. A rendering event triggers repainting of the object associated with the spline curve using the scene graph.

Abstract: An apparatus including a first circuit and a second circuit. The first circuit may be configured to generate a first control signal, a second control signal and a third control signal in response to a first interlaced video signal. The second circuit may be configured to generate a second interlaced video signal in response to the first interlaced video signal, the first control signal, the second control signal and the third control signal. The second circuit may be further configured to vertically scale the first interlaced video signal in an extended vertical domain.

Abstract: An image processing engine, comprising: a frame rate conversion entity configured to: (a) generate output pictures from input pictures, the output pictures comprising a set of first output pictures and a plurality of sets of second output pictures, each set of second output pictures being associated with one of the first output pictures, each of the first output pictures being derived from a respective one of the input pictures; and (b) control generation of the set of second output pictures associated with a particular first output picture based upon repetitive pattern presence detection within a related picture that is either (i) the particular first output picture or (ii) the input picture from which the particular first output picture was derived.

Abstract: An image processing apparatus that converts an input image having first resolution into an output image having second resolution higher than the first resolution includes a super-resolution processing unit that converts the input image into an SR image having the second resolution through motion compensation, a motion mask generating unit that generates a motion mask indicating an accuracy of estimation, an edge direction information generating unit that generates edge direction information indicating an edge direction of each area of the input image, a weight map generating unit that generates a weight map indicating likelihood of the edge direction of each of the areas, an interpolation processing unit that converts the input image into an interpolated image having the second resolution, a weight computing unit that computes a weight, and an image generating unit that generates the output image by constructing a weighted sum of the SR image and interpolated image.

Abstract: The present invention relates to an image processing device and method, a storage medium, and a program for performing high-quality enlargement processing. Of input image data, a data buffer 32 holds data of target-pixel neighborhood data necessary for the enlargement processing. A data-position swapping unit 33 swaps the data positions of the target-pixel neighborhood data, as needed. A pixel priority determining unit 34 determines background color or foreground color with respect to each pixel of the target-pixel neighborhood data whose data positions were sapped. A data-selection-flag determining unit 36 determines a data selection flag of the target-pixel neighborhood data, the data selection flag being supplied from the pixel priority determining unit 34.

Abstract: System, method, and computer program product to adaptively blend the interpolation results from an 8-tap Lanczos filter and the interpolation results from a bilinear filter, according to the local transitions of the input content. Artifacts may occur, which may be identified as such and corrected. Pixels that represent artifacts in the blended image may be replaced with the pixel for that location taken from the bilinear interpolation.

Abstract: An image processing device including a storing unit storing the position of a focus detecting pixel of an image-capturing sensor containing plural pixels having spectroscopic characterizations corresponding to respective plural color components with the focus detecting pixel, a pixel interpolating unit generating an interpolation pixel value of the focus detecting pixel by using pixel values of pixels neighboring to the focus detecting pixel, neighborhood-pixel estimating unit calculating an estimation pixel value corresponding to a pixel value when the pixels neighboring to the focus detecting pixel have the same spectroscopic characterization as the focus detecting pixel, a high-frequency component calculating unit calculating a high frequency component of the image by using a pixel value of the focus detecting pixel and the estimation pixel value, and a high frequency component adding unit adding the interpolation pixel value with the high frequency component to calculate a pixel value of the focus detecti

Abstract: A method and system for smooth rasterization of graphics primitives. The method includes receiving a graphics primitive for rasterization in a raster stage of a processor, rasterizing the graphics primitive by generating a plurality of fragments related to the graphics primitive, and determining a coverage value for each of the plurality of fragments. If one edge of the graphics primitive lies within a predetermined inter-pixel distance from a pixel center, the one edge is used to calculate the coverage value by using a distance to the pixel center. If two edges of the graphics primitive lie within the predetermined inter-pixel distance from the pixel center, a distance to the pixel center of each edge is used individually to calculate the coverage value. The resulting coverage values for the plurality of fragments are output to a subsequent stage of the processor for rendering.

Abstract: An interpolation processing section determines a pixel value of an interpolation-target pixel by a diagonal interpolation process. An interpolation value limiting section compensates the pixel value determined by the interpolation processing section such that it becomes a value between pixel values of two adjacent pixels above and below the interpolation-target pixel. An intersection area detecting section judges whether or not the interpolation-target pixel is located in, when the horizontal axis represents a horizontal position and the vertical axis represents a pixel value, an area in proximity of a horizontal position where a curve line, representing pixel values of pixels on the scanning line above the interpolation-target pixel, and a curve line, representing pixel values of pixels on the scanning line below the interpolation-target pixel, intersects.

Abstract: A method for video conversion of a video stream includes: interpolating a first interpolated frame according a first frame and a second frame of the video stream; and interpolating a second interpolated frame according to the first frame and the first interpolated frame. In addition, the method further includes interpolating a third interpolated frame according to the second frame and the first interpolated frame.

Abstract: An image processing apparatus calculates estimated pixel values of respective pixels of a provisional high-resolution image by interpolation on basis of pixel values in a reference frame. Interior of the reference frame is segmentalized into an edge region, a texture region or a flat region and others on a basis of pixel values of respective pixels. The respective pixels in the reference frame are set as target pixels one by one in sequence. Corresponding positions on the provisional high-resolution image are calculated, of the respective target pixels in decimal accuracy on a basis of information on the segmented regions including the target values. The estimated pixel values are modified so that differences from the pixel values of the target pixels to provisionally estimated pixel values obtained from the estimated pixel values of the provisional high-resolution image for pixels around the corresponding positions of the target pixels, becomes smaller. Modified pixel values and then obtained.

Abstract: A method for efficient digital capturing of analog video signals of computer game consoles is provided. The video format of the signal is changed from 480p to 720p, without any scaling artifacts. The number of active horizontal resolution lines and active vertical resolution lines is reduced in the higher definition space, so that the output picture is a pixel-for-pixel transformed replica of the 480p image.

Abstract: Provided is an image-resolution-improvement apparatus and method which can increase the resolution of an input image at a high magnification to thereby obtain a high-quality final image. The apparatus includes a textured-region-detection unit to detect a texture region in an input image; and a final-image-generation unit to synthesize a first intermediate image and a second intermediate image, which are obtained by applying different interpolation techniques to the texture region and a non-texture region excluding the texture region and generating a final image.

Abstract: The disclosure refers to an image processing system, projector, method and computer program product. In one example, an image processing system includes an interpolation unit that performs interpolation using an input image and a reference pixel in an input background part outside of the input image and interpolation pixels including neighboring pixels around the reference pixel, and a target pixel location determination unit that determines a location of a target pixel with respect to an image after distortion correction in a display area of an optical modulator.

Abstract: Images are upsampled using a knowledge base derived from a plurality of high-quality training images. The knowledge base is used to refine a high-frequency component including high-frequency aspects of a high-resolution, low-frequency image, interpolated from a low-resolution full-frequency image, into a high-frequency component. An enhancement step is performed without using a knowledge base to construct a high-compatibility component from the low-resolution, full-frequency image. The low-resolution, full-frequency image is combined with the coarse high-frequency component to yield an enhanced high-frequency component. A second knowledge base step is performed to construct an improved high-frequency component from the enhanced high-frequency component. The improved high-frequency component is blended with a high-resolution, low-frequency image to yield a high-resolution image.

Abstract: A periodicity determining unit determines whether an image region including a target pixel is a periodic region in which pixel values vary periodically. A first generating unit generates a pixel value using a first interpolation method. A second generating unit generates a pixel value using a second interpolation method. A control unit determines, based on the determination result of the periodicity determining unit, which one of the first and second generating units is to be used for generating a pixel value of the target pixel. A pixel value inserting unit inserts the generated pixel value to the target pixel. The periodicity determining unit includes a cycle estimating unit to estimate, using pixel values of pixels within the image region, a variation cycle of the pixel values, and/or a determining unit to determine whether each region positioned at left and right sides of the target pixel is the periodic region.

Abstract: A method of access by a client computer to a digital image stored on a server computer via a communication network, the digital image being represented by sets of digital data associated respectively with various blocks (Bi) and various resolution levels (Rj) of the image or with various blocks (Bi) and various quality levels (Qk) of the image, comprises a step (E47) of identifying a set of data to be acquired, a step (E48) of calculating the size in bits (b) of the set of data to be acquired, a step (E49) of comparing a number of acquired data bits (B) incremented by the calculated size (b) with a predetermined bit threshold value (S), and a step (E52) of acquiring the set of data identified if the number of data bits acquired incremented by the calculated size (B+b) is less than the predetermined bit threshold value (S). Has particular use for limiting free access to a digital image.

Abstract: The present invention relates to a video signal processing method and a video signal processing apparatus. The video signal processing apparatus receives a picture datum, which includes M×N pixel data, wherein a scan orientation of the pixel data includes M pixel data. The video signal processing apparatus includes a horizontal scaling unit and a timing control unit. The horizontal scaling unit scales the pixel data of the scan orientation of the picture datum to obtain P pixel data. The timing control unit transfers the P pixel data to a scan-line signal of the video signal, determines the number of times of outputting the scan-line signal according to a ratio of Q to N, sequentially outputs the scan-line signal according to the number of times of outputting the scan-line signal and thus outputs the video signal with a resolution of P×Q.

Abstract: Interpolations systems and methods are disclosed. In a particular embodiment, a system is disclosed that includes an input to receive image data. The system also includes an image processing system responsive to the image data and including a demosaicing module. The demosaicing module is configured to use adaptive bi-cubic spline interpolation. The system further includes an output responsive to the image processing system and adapted to provide output data.

Abstract: A plurality of input image signals are synthesized to generate a synthesis signal on the basis of synthesis information indicating an area where input image signals which are image signals of an image composed of at least one of input moving images and still images are respectively synthesized, a motion vector of the synthesis signal is detected, a synthesis interpolation exclusion area is decided where the interpolation in the synthesis signal is not performed on the basis of the synthesis information and interpolation control information indicating an input interpolation exclusion area where the interpolation in the respective input image signals is not performed, and a synthesis signal in-between signal is interpolated and output which is an image signal at an arbitrary time between the synthesis signal and a previous synthesis signal on the basis of the motion vector in an area other than the synthesis interpolation exclusion area.

Abstract: An initial polygon obtained from a point group is used as a control polygon, and a control point of the control polygon is offset in a normal direction by the shortest distance from a limit surface generated by the control polygon, so that the position of new control point is determined to allow a subdivision surface to interpolate the initial polygon, thereby generating the subdivision surface which interpolates the point group. A first process to determine the point on the subdivision surface at the shortest distance from each control point, and a second process to move and offset the control point in the normal direction from the surface by the distance between the point on the surface and the initial control point, are iterated until the distance between the initial point group and the point on the surface satisfies the threshold or becomes smaller than the threshold, thereby generating the subdivision surface interpolating the initial polygon.

Abstract: A method of pixel interpolation in which a two-dimensional digital filter is arranged so as to interpolate an output pixel from a two-dimensional array of input pixels comprises detecting the direction of an image feature at a pixel position to be interpolated; applying a shear transformation to the digital filter and/or to the array of input pixels so as to map the operation of the filter to the detected image feature direction in respect of at least a first one of two axes of the two dimensional filter; and applying the digital filter to obtain the output pixels.

Abstract: This invention concerns the spatial interpolation of color images and, in particular, the reconstruction, or “de-mosaicing” of data from a single sensor-array electronic camera. Electronic cameras typically have an image sensor comprising a matrix of individual pixel sensors, each sensor being responsive to a color component. In order to obtain color component information for all pixels, in accordance with the disclosed embodiment, green component pixel values (203) are interpolated to obtain green component pixel values for all pixels (209). A difference value (B?G) (212) is formed from the green color component values (207) and the original blue component values (204) at blue pixel locations, and the difference values (B?G) (212) are then interpolated to obtain difference values for all pixels (216). Blue component values for all pixels (225) can then be obtained from the difference values for all pixels (216) and the green component values for all pixels (209).

Abstract: An imaging apparatus including an imaging function having an imaging section configured such that a plurality of pixels are arrayed in a vertical direction and a horizontal direction, images a subject; a detecting function for detecting whether the imaging apparatus including the imaging section is held vertically or horizontally; a readout function for reading out the pixels information of the plurality of the pixels from the imaging section; a first readout controlling function for controlling a readout process of the pixel information executed by the readout function, in accordance with a detection result from the detecting section; a calculating function for calculating an auto-focus evaluation value in accordance with the pixel information read out by the first readout controlling function; and a focusing function for focusing in accordance with the auto-focus evaluation value calculated by the calculating function.

Abstract: Systems and methods for resizing an icon are disclosed according to various aspects of the subject technology. In one aspect, a computer-implemented method for resizing an icon is disclosed. The method comprises computing an area of the icon, comparing the computed area of the icon with a predetermined area, and resizing the icon based on the comparison such that an area of the resized icon is approximately equal to the predetermined area.

Abstract: An image processing method for reducing noise of an image to be filtered; the method includes a step of creating shrunken image of shrinking ratio r×r (where r is a natural number) by averaging the pixel values for each pixel in a block for every r pixels, a step of obtaining the pixel value in the shrunken image that correspond to the focus pixel in the source image by performing linear interpolation from the shrunken image pixels, a step of determining the noise reduction filter from the focus pixel and reference pixel in the shrunken image, and a step of computing the compensated pixel value of the focus pixel in the source image by weighted sum of each pixel value applying the filter to the focus pixel in the source image and the corresponding shrunken pixel.

Abstract: A method for forming a final digital color image with reduced motion blur including of a processor for providing images having panchromatic pixels and color pixels corresponding to at least two color photo responses, interpolating between the panchromatic pixels and color pixels to produce a panchromatic image and a full-resolution color image to produce a full-resolution synthetic panchromatic image from the full-resolution color image; and developing color correction weights in response to the synthetic panchromatic image and the panchromatic image; and using the color correction weights to modify the full-resolution color image to provide a final color digital image.

Abstract: The present invention relates to a method for interpolating a subpixel at an interpolation position, which is situated in the chronological order between two source frames. Thereby the calculation of the interpolated subpixel's value is based on the value of the pixels of the two source frames and additional weighting coefficients, which are based on the motion vectors correlating the two source frames.

Abstract: A method of computing a continuous interpolation of a discrete set of three-dimensional (3D) balls, including generating an initial skin, wherein the initial skin is a surface comprised of splines and wherein the splines touch each ball along a circle that is tangent to the ball, solving a first differential equation to minimize the initial skin's surface area or solving a second differential equation to minimize a squared mean curvature of the initial skin's surface, wherein the result of solving the first or second differential equations is an updated skin; and repeating the steps of solving the first or second differential equations for the updated skin, and then, repeating the steps of solving the first or second differential equations for each subsequently updated skin until a desired skin is realized.

Abstract: A method for deformable registration of 2 digital images includes providing a pair of digital images, including a fixed image and a moving image, extracting a set of edge images from each image of the pair of images, each edge set being extracted at a different resolution, selecting a pair of edge images with a lowest resolution, determining a mapping from edge points of the fixed image to edge points of moving image using a geodesic thin plate spline interpolation, applying the mapping to a next higher resolution edge point image of the moving image, selecting a pair of edge images at a next higher resolution, where a moving edge image is the moving edge image to which the mapping has been applied, repeating the steps at a next higher resolution for all edge images in the set of edge images, and applying the mapping to an entire moving image.

Abstract: A detection device that includes a setting component, a measuring component, an accumulating component, a determining component, and an increasing/decreasing component is provided. The joint quantity measuring component measures joint quantities between the photoelectric conversion elements that are dependent on precision when arraying the plural photoelectric conversion elements. The joint error quantity accumulating component accumulates error quantities of the joints that are obtained from the joint quantities that have been measured and a reference quantity. The determining component determines whether or not the accumulated error quantity has exceeded an allowable range. The interpolation pixel increasing/decreasing component increases/decreases, on the basis of direction of error, interpolation pixels between specific photoelectric conversion elements when it has been determined that the accumulated error quantity has exceeded the allowable range.

Abstract: An image processing system interpolates image data of an image array by ascertaining shift invariant points and non-shift invariant points within the array. The average illumination and the second order derivative are determined for the shift invariant locations. The second order derivative and the intensity at the non-shift invariant locations for each of the non-shift invariant points are estimated. The color data for each color element is determined from the image data and second order derivative. The second order derivative is multiplied by a scaling factor for selectively smoothing and sharpening the second order derivative. The color data values of adjacent color element to enhance a resolution of the image data.

Abstract: An apparatus for color interpolation using an adjustable threshold is disclosed. The color interpolation apparatus calculates the difference between the maximum value and the minimum value of the elements of the image data and determines the color interpolation method of the image data depending on the difference to perform the corresponding color interpolation. With the present invention, the improved image quality can be provided because the color interpolation can be performed as a user desires.

Abstract: An apparatus and method for image interpolation based on low pass filtering are provided. The apparatus includes an edge direction detector detecting an edge direction for a pixel nearest to a to-be-interpolated pixel among pixels and determining the edge direction of the to-be-interpolated pixel as the detected edge direction, a pixel value calculator calculating pixel values of interpolation points located in a lattice filtering window having a predetermined size by using pixel values of pixels located adjacent to the interpolation points, and a filtering unit performing low pass filtering on the to-be-located pixel according to a low pass filter corresponding to the determined edge direction of the to-be-interpolated pixel, the low pass filter being one of low pass filters corresponding to predetermined vertical, horizontal, left diagonal and right diagonal directions respectively.

Abstract: An image format conversion system includes a horizontal filter to receive an image input signal with a frequency of a first clock signal in order to perform a filtering operation to thereby produce a horizontal filtering image signal; a first FIFO to temporarily store the horizontal filtering image signal; a 2D image interpolator to perform a deinterlacing, a vertical interpolation and a horizontal interpolation operations on the horizontal filtering image signal to further produce a scaled progressive image signal; a second FIFO connected to the 2D image interpolator to temporarily store the scaled progressive image signal; an interpolation clock controller to receive a second clock signal and produce multiple enable signals in order to enable the horizontal filter and the 2D image interpolator, wherein the second clock signal has a frequency independent of the frequency of the first clock signal.

Abstract: Techniques and tools for interpolation of image/video content are described. For example, a tool such as a display processing module in a computing device receives pixel values of a low-resolution picture and determines an interpolated pixel value between a set of the pixel values from the low-resolution picture. The tool uses auto-regressive edge-directed interpolation that incorporates a backward projection constraint (AR-EDIBC). As part of the AR-EDIBC, the tool can compute auto-regressive (AR) coefficients then apply the AR coefficients to the set of pixel values to determine the interpolated pixel value. For the backward projection constraint, the tool accounts for effects of projecting interpolated pixel values back to the pixel values of the low-resolution picture. The tool stores the interpolated pixel values and pixel values from the low-resolution picture as part of a high-resolution picture. The tool can adaptively use AR-EDIBC depending on content and other factors.

Abstract: Method and device for generating a multi-viewpoint image are provided. The method of generating a multi-viewpoint image includes the steps of: acquiring at least one reference-viewpoint image; generating unit image information of a virtual-viewpoint image on the basis of unit image information of the reference-viewpoint image; multiplexing the unit image information of the reference-viewpoint image and the unit image information of the virtual-viewpoint image; and generating a multi-viewpoint image by performing an interpolation process on occluded areas between the multiplexed unit image information using the multiplexed unit image information. As a result, it is possible to avoid unnecessary processes of completing and rearranging individual viewpoint images in the course of generating a multi-viewpoint image.

Abstract: A signal processing apparatus includes a synchronization processing unit for processing image pickup signals including three kinds of signals and luminance signals output from an image pickup device. The synchronization processing unit is used to interpolate other color signals than the above-mentioned respective color signals at pixel positions where the three kinds of signals respectively exist. This processing includes a luminance use estimating processing which estimates color signals to be interpolated at the above-mentioned pixel positions using not only the same kinds of color signals as the above-mentioned color signals to be interpolated but also the above-mentioned luminance signals respectively existing around the above-mentioned pixel positions.

Abstract: Disclosed is a color interpolation method. The present invention decides a precise position of an edge with use of a G value in a unit pixel structure with a size of 3×3, thereby using different color interpolations according to the position of the edge. Also, the present invention provides an effect of emphasizing an edge by emphasizing a brightness and lowering colors when the edge is placed in the vertical center or the horizontal center of the unit pixel structure of 3×3 with use of a property that the edge has stronger brightness than the colors and prevents an incorrect color.