Abstract: According to one embodiment, image processor includes generator and superimposing module. The generator generates enlarged image including display area larger than that of input image. The enlarged image is generated by synthesizing first extrapolated image and second extrapolated image with the input image. The first extrapolated image is synthesized with respect to first enlarged area positioned outside of display area of the input image and adjacent to the display area. The first extrapolated image includes continuity with the input image. The second extrapolated image is synthesized with respect to second enlarged area positioned outside the first enlarged area. The second extrapolated image includes pixel gradient smoother than that of the first extrapolated image. The superimposing module superimposes small image on display area in which the first extrapolated image and the second extrapolated image are synthesized. Area of the small image is smaller than that of the second extrapolated image.

Abstract: According to one embodiment, an image processing apparatus comprises an image processing unit and a control unit. The image processing unit is configured to perform image processing enhancing a depth of an imaged image. The control unit is configured to acquire an imaging condition of the imaged image and perform control such that an enhancement amount of the depth of the imaged image increases when the acquired imaging condition satisfies a predetermined depth enhancement condition.

Abstract: According to one embodiment, an image processing apparatus includes first and second computation portions, a selection portion, a projection portion, and a weighted averaging portion. The first computation portion is configured to obtain magnitudes of correlations between a first vector and plural basis vectors. The selection portion is configured to select basis vectors from the plural basis vectors. The projection portion is configured to select a second region, obtain a first projection vector by projecting the first vector onto a subspace formed by the selected basis vectors and obtain a second projection vector for each second region by projecting a second vector onto the subspace. The second computation portion is configured to compute a distance between the first and second projection vectors. The weighted averaging portion is configured to weighted average a pixel value of the second pixel to obtain an output pixel value of a first pixel.

Abstract: According to one embodiment, an electronic apparatus includes: an imaging module configured to shoot a video display apparatus on which a first image is displayed, and output a shot image; a calibrating module configured to perform camera calibration using the first image in the output shot image; a calculating module configured to calculate information to be used for image quality adjustments of the video display apparatus using results of the camera calibration and the shot image; and a transmitting module configured to transmit the calculated image quality adjustment information to the video display apparatus.

Abstract: According to one embodiment, a display processing apparatus includes: a recognizes configured to recognize a viewer; an eyeball characteristic acquisition module configured to acquire an eyeball characteristic indicating visibility in eyes of each viewer recognized from eyeball characteristic information in which the eyeball characteristic of the viewer is recorded; a viewing distance acquisition module configured to acquire a viewing distance between the viewer recognized and a display configured to display an image; an image generator configured to generate a first image in which deterioration due to the eyeball characteristic of the viewer recognized when the viewer views the image displayed on the display at the viewing distance is compensated based on the viewing distance acquired and the eyeball characteristic of the viewer recognized; and a display controller configured to control the display to display the first image generated.

Abstract: According to one embodiment, a liquid crystal display includes a display module and a backlight module configured to irradiate light on the display module. The backlight module includes a light guide plate, a first light source, a reflective plate, and a second light source. The light guide plate has a light output face at a position corresponding to a first small area on the display module. The first light source is configured to irradiate light toward the light guide plate from a side of the light guide plate in such a manner that the irradiated light reaches the first small area. The reflective plate is facing to the light guide plate, and the reflective plate has a reflective face configured to reflect light toward a second small area different from the first small area. The second light source is configured to irradiate light toward the reflective plate from a side of the reflective plate in such a manner that the irradiated light reaches the second small area.

Abstract: According to one embodiment, an image processing apparatus includes first and second computation portions, a selection portion, a projection portion, and a weighted averaging portion. The first computation portion is configured to obtain magnitudes of correlations between a first vector and plural basis vectors. The selection portion is configured to select basis vectors from the plural basis vectors. The projection portion is configured to select a second region, obtain a first projection vector by projecting the first vector onto a subspace formed by the selected basis vectors and obtain a second projection vector for each second region by projecting a second vector onto the subspace. The second computation portion is configured to compute a distance between the first and second projection vectors. The weighted averaging portion is configured to weighted average a pixel value of the second pixel to obtain an output pixel value of a first pixel.

Abstract: A degraded-image restoration method includes inputting a degraded image degraded by a predetermined degradation process; reading from a storage unit a filter coefficient in a filtering process of restoring the degraded image, in which an iteration formula for minimizing a square error between the degraded image and an image obtained by degrading a restored image by the degradation process is expanded corresponding to a predetermined number of iterations; and performing the filtering process using the filter coefficient with respect to the degraded image to obtain a restored image of the degraded image. Accordingly, a throughput in an apparatus that restores the degraded image can be reduced, thereby obtaining a preferable restored image.

Abstract: According to one embodiment, a liquid crystal display includes a display module and a backlight module configured to irradiate light on the display module. The backlight module includes a light guide plate, a first light source, a reflective plate, and a second light source. The light guide plate has a light output face at a position corresponding to a first small area on the display module. The first light source is configured to irradiate light toward the light guide plate from a side of the light guide plate in such a manner that the irradiated light reaches the first small area. The reflective plate is facing to the light guide plate, and the reflective plate has a reflective face configured to reflect light toward a second small area different from the first small area. The second light source is configured to irradiate light toward the reflective plate from a side of the reflective plate in such a manner that the irradiated light reaches the second small area.

Abstract: A super-resolution device and method for setting at least one of a plurality of pixels included in image data as target pixels, the image data including pixels arranged in a screen and pixel values representing brightness, an area including the target pixel and peripheral pixels as a target area, and an area for searching pixel value change patterns in the target pixel area; calculating a difference between a first change pattern and second change pattern; comparing a difference between the first and second change patterns; calculating a pixel value of a super-resolution image having a number of pixels larger than a number of pixels included in the image data on the basis of a decimal-accuracy-vector, an extrapolated vector, and pixel values obtained from the image data.

Abstract: A super-resolution device and method for setting at least one of a plurality of pixels included in image data as target pixels, the image data including pixels arranged in a screen and pixel values representing brightness, an area including the target pixel and peripheral pixels as a target area, and an area for searching pixel value change patterns in the target pixel area; calculating a difference between a first change pattern and second change pattern; comparing a difference between the first and second change patterns; calculating a pixel value of a super-resolution image having a number of pixels larger than a number of pixels included in the image data on the basis of a decimal-accuracy-vector, an extrapolated vector, and pixel values obtained from the image data.

Abstract: In one embodiment, an image data acquisition unit, a filter setting unit and a filtering processor are provided. The image data acquisition unit acquires pixel data of first image data of an erect image obtained by a line sensor comprising a plurality of light receiving elements. The erect image is formed by a plurality of gradient index lenses of a lens array. The filter setting unit sets sharpening filter coefficients of a filter to be applied to the pixel data of the first image data corresponding to the respective light receiving elements, according to remainder values obtained respectively by dividing positions of the light receiving elements on the line sensor by an interval of a lens arrangement of the lens array. The filtering processor generates second image data sharpened by applying the obtained sharpening filter coefficients to the respective pixel data of the first image data.

Abstract: A super-resolution device and method for setting at least one of a plurality of pixels included in image data as target pixels, the image data including pixels arranged in a screen and pixel values representing brightness, an area including the target pixel and peripheral pixels as a target area, and an area for searching pixel value change patterns in the target pixel area; calculating a difference between a first change pattern and second change pattern; comparing a difference between the first and second change patterns; calculating a pixel value of a super-resolution image having a number of pixels larger than a number of pixels included in the image data on the basis of a decimal-accuracy-vector, an extrapolated vector, and pixel values obtained from the image data.

Abstract: An image processing apparatus includes an operating unit configured to calculate a tangent-line direction of an edge and a normal-line direction of the edge by using a vertical-direction derivative value and a horizontal-direction derivative value of a pixel value of a pixel in an input image; a converting unit configured to convert local coordinates positioned within a predetermined area with respect to a target pixel in the input image into rotated coordinates, by rotating the local coordinates according to an angle formed by the horizontal direction and the tangent-line direction of the edge; and a fitting unit configured to perform, at the rotated coordinates, a fitting process that employs a least-squares method by using a curved surface model expressed with the pixel value of the target pixel in the input image.

Abstract: A resolution enhancing method of a video includes reducing a training video, extracting a high-frequency component from the training video, calculating a first feature vector including a feature amount of a first spatio-temporal box in the reduced video, storing pairs of the first feature vectors and second spatio-temporal boxes in the high-frequency component videos at the same positions as those of the first spatio-temporal boxes, expanding an input video, retrieving a first feature vector similar to a second feature vector including a feature amount of a third spatio-temporal box of an object of the input video to be processed, as an element, and adding a second spatio-temporal box making a pair with the retrieved first feature vector to a fourth spatio-temporal box in the expanded video at the same position as that of the third spatio-temporal box in order to generate an output video.

Abstract: An apparatus includes unit acquiring, from an image source, an image represented by pixel values indicating brightness levels, unit setting, as a reference frame, one frame, unit sequentially setting, to be target pixels, each of pixels in one or more frames, unit setting target-image regions including the target pixels, unit searching the reference frame for similar-target-image regions similar to each of the target-image regions in a change pattern of pixel values, unit selecting, from the similar-target-image regions, corresponding points corresponding to each of the target pixels, unit setting sample values concerning brightness at the corresponding points to a pixel value of a target pixel corresponding to the corresponding points, and unit computing pixel values in a high-resolution image corresponding to the reference frame, based on the sample values and the corresponding points, the high-resolution image containing a larger number of pixels than pixels in the reference frame.

Abstract: An image processing apparatus includes a blur reproducing unit that generates blur-reproduced image data by reproducing a predetermined blur of a lens, with respect to blur-corrected image data of which an initial data is input image data inputted from an image sensor; a blur correcting unit that corrects the blur-corrected image data so that an error between the blur-reproduced image data and the input image data becomes smaller; and a curved-surface fitting unit that obtains curve surface parameters of each functions approximating distribution of pixel values of each of color components of the blur-corrected image data so that curved-surface shapes of the functions become the same among the color components, and updates the pixel values of the blur-corrected image data by using the curve surface parameters.

Abstract: A degraded-image restoration method includes inputting a degraded image degraded by a predetermined degradation process; reading from a storage unit a filter coefficient in a filtering process of restoring the degraded image, in which an iteration formula for minimizing a square error between the degraded image and an image obtained by degrading a restored image by the degradation process is expanded corresponding to a predetermined number of iterations; and performing the filtering process using the filter coefficient with respect to the degraded image to obtain a restored image of the degraded image. Accordingly, a throughput in an apparatus that restores the degraded image can be reduced, thereby obtaining a preferable restored image.

Abstract: An image processing apparatus includes an operating unit that calculates a tangent-line direction of an edge and a normal-line direction of the edge by using a vertical-direction derivative value and a horizontal-direction derivative value of a pixel value of a pixel in an input image; a converting unit that converts local coordinates positioned within a predetermined area with respect to a target pixel in the input image into rotated coordinates, by rotating the local coordinates according to an angle formed by the horizontal direction and the tangent-line direction of the edge; and a fitting unit that performs, at the rotated coordinates, a fitting process that employs a least-squares method by using a curved-plane model expressed with the pixel value of the target pixel in the input image.

Abstract: An imaging device includes: a capturing unit that captures a motion picture at one of a plurality of frame rates; a buffer that temporary stores the motion picture captured by the capturing unit; a signal generation unit that generates a signal used for specifying a core frame that is to be subjected to a resolution enhancement processing, while the capturing unit captures the motion picture at a first frame rate; a capturing control unit that controls the capturing unit to capture the motion picture, after the core frame specified by the signal, at a second frame rate that is higher than the first frame rate; a reference frame determination unit that determines a frame stored in the buffering unit at the second frame rate as a reference frame; and an image processing unit that performs the resolution enhancement processing by converting the core frame into a high-resolution frame by reference to the reference frame determined by the reference frame determination unit.