Abstract: A 3D display apparatus according to an embodiment comprises a display unit, an input unit, an estimator, a generator and an output unit. The display unit is capable of displaying a plurality of parallax images as a 3D image. Each of the parallax images may have a mutually different parallax. An input unit may input an input image. An estimator may estimate a relative tilt angle of an interocular direction of an observer with respect to a reference direction having been preset on the display unit. A generator may generate the parallax images from the input image using the relative tilt angle, each of the parallax images having the mutually different parallax along the interocular direction. An output unit may make the display unit display the parallax images.

Abstract: A portable display device includes a display unit, a first capturing unit, and a second capturing unit. The display unit includes a rectangular display screen for displaying an image. The first capturing unit is configured to capture an image of an object. The first capturing unit is arranged in a region, corresponding to a first side of the display screen, which is a part of a peripheral region of the display unit other than the display screen. The second capturing unit is configured to capture an image of the object. The second capturing unit is arranged in a region, corresponding to a second side adjacent to the first side, which is a part of the peripheral region.

Abstract: A motion vector detection device includes: a matching error calculation part that calculates matching errors between a focus block and each of reference blocks; a least matching error calculation part calculating a least matching error from among the matching errors; a threshold calculation part calculating a threshold value; a correction vector calculation part calculating a correction vector from motion vectors detected in the reference blocks; and a motion vector determination part determining, as a motion vector for the focus block, a relative position vector in a block in which the relative position vector with respect to the focus block is the closest to the correction vector, the block being selected from among the reference blocks in which a difference between the plurality of matching errors and the least matching error is within the threshold value.

Abstract: According to an embodiment, an image processing device includes an obtaining unit, a first determining unit, and a detecting unit. The obtaining unit is configured to obtain an input image. The first determining unit is configured to determine a detection order that indicates an order of performing a detection operation for detecting whether an object is present with respect to partitioned areas into which the input image are divided, according to an existence probability that is set in advance for each of the partitioned areas and indicates a probability at which an object exists. The detecting unit is configured to perform, according to the detection order, the detection operation to detect whether the object is present in an area corresponding to a partitioned area subjected to the detection order in the input image.

Abstract: A device according to embodiments may comprise an acquisition unit, an arrangement unit, a calculating unit, and a processing unit. The acquisition unit may acquire candidate vectors from among corresponding vectors which have been calculated for each candidate block around the target block. The arrangement unit may arrange particles around each candidate block indicated by each of the acquired candidate vectors while using the target block as an origination, and arrange particle vectors while using the target block as an origination. The calculating unit may calculate a correlation between a pixel value of the target block and a pixel value of each block defined by each of the particles, and give a weight depending on the calculated correlation to each of the particle vectors. The processing unit may obtain the corresponding vector for the target block based on the weight calculated for each of the particle vectors.

Abstract: According to one embodiment, an image processing method includes calculating an activity value for a first block, the activity value indicating a higher degree of activity as pixel values vary in a greater degree in the first block, and calculating a first evaluation value that indicates higher evaluation as a difference between a pixel value of the first block and a pixel value of a second block is smaller. The method further includes calculating a second evaluation value that indicates higher evaluation as correlation between a relative spatial relationship of the pixel value of the first block and that of the pixel value of the second block is higher, and calculating a third evaluation value by weighting the first evaluation value and the second evaluation value to search for the second block that corresponds to the first block, a weight of the first evaluation value is larger as the activity value is larger.

Abstract: According to an embodiment, an image processing device includes a first obtaining unit, a specifying unit, a first calculator, a second obtaining unit, and a selector. The first obtaining unit obtains a first parallax number representing a parallax image that is actually observed. The specifying unit specifies a panel parameter candidate. The first calculator calculates a second parallax number which represents a parallax image to be observed from the viewpoint position when the panel parameter is changed from the first panel parameter to the panel parameter candidate. The second obtaining unit obtains a third parallax number calculated when a first panel parameter candidate is specified, and the third parallax number is smaller than an error between the second parallax number calculated when a second panel parameter candidate is specified, and the third parallax number, the selector selects the first panel parameter candidate as the panel parameter.

Abstract: According to one embodiment, a parallax image generating apparatus is for generating, using a first image, a parallax images with a parallax therebetween. The apparatus includes following units. The first estimation unit estimates distribution information items indicating distributions of first depths in the first image by using first methods. The distribution information items falls within a depth range to be reproduced. The first combination unit combines the distribution information items to generate first depth information. The second calculation unit calculates second depth information indicating relative unevenness of an object in the first image. The third combination unit combines the first depth information and the second depth information by using a method different from the first methods, to generate third depth information. The generation unit generates the parallax images based on the third depth information and the first image.

Abstract: According to an image processing device includes an acquiring unit and a correcting unit. The acquiring unit is configured to acquire a stereoscopic image containing a plurality of parallax images each having a mutually different parallax. The correcting unit is configured to perform, for each pixel of the stereoscopic image, correction to set a parallax number of a parallax image viewed at a viewpoint position to a first parallax number of a parallax image to be viewed at the viewpoint position by using correction data representing a difference value between the first parallax number and a second parallax number of a parallax image that is actually viewed at the viewpoint position and on which distortion correction for correcting distortion of light beams has been performed.

Abstract: A motion vector detection method includes extracting a first block including a plurality of pixels from a first frame of the image, detecting a second block from a plurality of blocks of a second frame of the image by block matching, the second block including the maximum number of pixels each indicating an absolute difference value not more than a first threshold with respect to each of the pixels of the first block, and computing a first motion vector between the first block and the second block.

Abstract: In an embodiment, an image processing device includes: a first acquiring unit that acquires a plurality of parallax images having parallax between one another; a second acquiring unit that acquires identification information of a parallax image to be observed from a predetermined observing point position in each of a plurality of regions into which a display area on which three-dimensional image is configured to be displayed is divided, each of the regions including at least one element image, and the element image including each pixel in the plurality of parallax images; a corrector that corrects pixels at positions corresponding to the regions in the parallax images into pixels of parallax images identified by the identification information; and a first generator that generates the three-dimensional image from the parallax images resulting from the correction.

Abstract: According to one embodiment, an apparatus includes a motion estimation unit, a generating unit, a detection unit, and a filtering unit. The motion estimation unit is configured to estimate a first motion vector from a first reference frame to a second reference frame. The generating unit is configured to assign a first pixel value and a second motion vector to an interpolation frame. The detection unit is configured to detect an occlusion region in the interpolation frame. The filtering unit is configured to assign the second motion vector to the occlusion region as a third motion vector, calculate degrees of difference between second pixel values derived from the second motion vectors and third pixel values derived from the third motion vectors, and assign a fourth pixel value derived from a fourth motion vector to the occlusion region, wherein the fourth motion vector is calculated based on the degrees of difference.

Abstract: According to one embodiment, a parallax image generating apparatus includes a deriving unit, a generating unit, a first calculating unit, a setting unit, a searching unit, and an interpolating unit. The deriving unit derives a parallax vector corresponding to a first pixel from the input image and depth information associated with the first pixel. The generating unit generates an intermediate image. The first calculating unit calculates first weights for respective pixels of a parallax image. The setting unit sets one or more candidate blocks near a shade-forming-area pixel of the intermediate image, and sets a reference block among one or more candidate blocks. The searching unit searches a target block similar to the reference block in the input image and/or the intermediate image. The interpolating unit interpolates a pixel value of the shade-forming-area pixel.

Abstract: According to an embodiment, an image processing device includes a specifying unit configured to specify, from among a plurality of parallax images each having a mutually different parallax, a pixel area containing at least a single pixel; and a modifying unit configured to, depending on a positional relationship between each pixel in the pixel area specified from among the parallax images and a viewpoint position of a viewer, modify the pixel area into a modified pixel area that contains a pixel which is supposed to be viewed from the viewpoint position.

Abstract: An image processing method for creating a disparity image for 3D display from a 2D video image includes detecting based on a first image of the 2D video image in a time and a second image in a time different from the first image, motion vectors between the first and second images for each block of the first image, detecting from the motion vectors, a most backward vector of a portion whose depth is on the back side, calculating differential vectors between each motion vector and the most backward vector and giving a depth on a close to the block of the first image corresponding to the motion vector having the larger differential vector and creating one or more disparity images from the first image and the depth.

Abstract: According to one embodiment, a motion vector detection apparatus includes following units. The layering unit generates layers with different resolutions for each of first and second images. The first extraction unit extracts a space candidate vector. The second extraction unit extracts a time candidate vector. The third extraction unit extracts a layer candidate vector. The determination unit determines a motion vector to be assigned to the target block, based on correlations between the target block and blocks, the blocks being located in a layer which corresponds to the second image and being specified by assigning, to the target block, the space, time, and layer candidate vectors.

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 a gradient calculator that calculates a direction and a magnitude of a gradient of each pixel in an input image using neighboring pixel values; a histogram calculator that calculates a Histogram of Oriented Gradients containing plural sampled directions from the directions and the magnitudes of the gradients calculated for the pixels in a region including the pixel being processed; a storing unit that stores plural smoothing filters and associated Histograms of Oriented Gradients; a search unit that calculates errors between Histogram of Oriented Gradients calculated for the pixel being processed and the Histograms of Oriented Gradients stored in the storing unit and searches the Histogram of Oriented Gradients that has the minimum error; and a filter processing unit that acquires one of the smoothing filters stored in association with the Histogram of Oriented Gradients having the minimum error and determines a corrected pixel value of the pixel being processed by filte

Abstract: An image processing method for creating a disparity image for 3D display from a 2D video image includes detecting based on a first image of the 2D video image in a time and a second image in a time different from the first image, motion vectors between the first and second images for each block of the first image, detecting from the motion vectors, a most backward vector of a portion whose depth is on the back side, calculating differential vectors between each motion vector and the most backward vector and giving a depth on a close to the block of the first image corresponding to the motion vector having the larger differential vector and creating one or more disparity images from the first image and the depth.

Abstract: According to one embodiment, a parallax image generating apparatus includes a deriving unit, a generating unit, a first calculating unit, a setting unit, a searching unit, and an interpolating unit. The deriving unit derives a parallax vector corresponding to a first pixel from the input image and depth information associated with the first pixel. The generating unit generates an intermediate image. The first calculating unit calculates first weights for respective pixels of a parallax image. The setting unit sets one or more candidate blocks near a shade-forming-area pixel of the intermediate image, and sets a reference block among one or more candidate blocks. The searching unit searches a target block similar to the reference block in the input image and/or the intermediate image. The interpolating unit interpolates a pixel value of the shade-forming-area pixel.