Abstract: An objective of the present invention is to provide a novel NDM (New Delhi metallo-?-lactamase) inhibitor that functions as a drug for restoring the antibacterial activity of ?-lactam antibiotics that have been inactivated as a result of decomposition by NDM.

Abstract: An apparatus includes, a unit generating a sample-texture image, a unit searching a preset-search range for similar pixels and to generate a texture image by assigning a pixel value of each of the similar pixels to a pixel value of a processing-target pixel in the texture image, the preset-search range being included in the sample-texture image and including a position corresponding to a position of the processing-target pixel to which any pixel value is not yet assigned, the similar pixels having, around the similar pixels, variation patterns similar to a pattern of pixels which are located in the texture image near the processing-target pixel and to which pixel values are assigned, and a unit combining the texture image and a base image of a same size as the texture image to obtain a synthetic image, the base image holding shades similar to shades of a transform-target image.

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, a stereoscopic video display device displays images for a plurality of view point directions on a displaying device while switching between the images at predetermined time intervals. The stereoscopic video display device includes a calculator configured to calculate a crosstalk amount of a first image for one view point direction, which is an image to be corrected, by using a pixel value of the first image, a pixel value of a second image for a view point direction different from that of the first image, the second image being an image to be displayed at a time before the first image, and characteristics data including response characteristics of the displaying device; and a corrector configured to correct the first image by using the crosstalk amount.

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: 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: 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: A specifying unit specifies a pixel value at a pixel position of a reference image to a pixel of a sample enlarged image at a position relative to a pixel position of the reference image as an initial pixel value. A selecting unit selects a target pixel from pixels other than pixels having the pixel values specified therefor including the pixels having the initial pixel values are set in the sample enlarged image. An allocating unit configured to allocate the pixel value of the pixel at a similar region position of the reference image to the pixel value of the target value in the sample enlarged image when a searching unit searches the similar region position similar to a pixel value pattern including a set of already specified pixels in a spatial neighborhood of the target pixel from the reference image is provided.

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: An image processing device includes an estimator, a first calculator, a selector, a determination module, and a third calculator. The estimator estimates a motion vector to reference images of an input video from a target pixel of a process target image. The first calculator calculates candidate pixel values corresponding to positions in the reference images. The selector selects a motion vector for which the error is small as many as the number smaller than the number of motion vectors acquired for the target pixel. The determination module determines the candidate pixel values corresponding to the selected motion vectors. The third calculator calculates a pixel value after correction of the target pixel from an arithmetic average or a weighted sum of the candidate pixel value determined equal to or less than the reference and the pixel value of the target pixel.

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 sets respective pixel values of a template block which includes a pixel to be determined for each pixel to be determined set in sequence in an image, arranges a plurality of reference blocks so as to surround the template block, obtains respective block matching errors between the respective pixel values of the plurality of reference blocks and the respective pixel values of the template block, and determines that the pixel to be determined is in an edge area when a smallest value from among the block matching errors is a deviated value from all the block matching errors.

Abstract: A detecting unit detects an object in an input image. A depth map generating unit selects a depth template corresponding to a type of the object and places a selected depth template on a depth map in accordance with a position of the object to generate the depth map having a depth value for each pixel. A correcting unit calculates a weight of at least one interested pixel and a weight of a peripheral pixel based on a relationship between pixel values to the interested pixel and the peripheral pixel and corrects the depth value of the interested pixel based on a weighted sum of the respective depth values corresponding to the interested pixel and the peripheral pixel. An image generating unit generates parallax images based on the corrected depth map and the input image.

Abstract: A sample is supported on a flat rotary specimen stage and irradiated at an incidence angle ? via a divergence slit with an x-ray beam emitted by an x-ray source, the diffraction beam from the sample is received via a divergence slit and the light-receiving slit by an x-ray detector placed at the position of a diffraction angle 2? to generate diffraction beam intensity data, the x-ray incidence angle ? and diffraction angle 2? are fixed at intrinsic values on the sample, the sample is rotated within a plane at designated step angles by the flat rotary specimen stage, the diffraction beam intensity is measured by the x-ray detector in each in-plane rotation step, the variance induced by particle statistics is calculated from the calculated diffraction beam intensities, and the size of the crystallites in the sample is calculated based on the variance induced by the particle statistics.

Abstract: A resolution enhancement apparatus includes unit to acquire a first image, unit to perform edge emphasis on the first image to obtain a second image, unit to detect, using one of the first image and the second image, points corresponding to image regions at a precision of a sub-pixel unit as a unit smaller than an interval between neighboring pixels, unit to set each of second values of the second image as a sampling value of a luminance value at each point when one of the second pixels is used as a pixel of interest, unit to enlarge the first image into a high-resolution image including a larger number of third pixels than the first image, and unit to execute value conversion which adds or subtracts third values in the high-resolution image in a direction to reduce errors between the luminance values sampled at the points and the sampling values.

Abstract: An apparatus includes unit acquiring a target image as a target of resolution conversion, unit acquiring an additional image from the image source, unit estimating a corresponding point in the target image using corresponding point estimation methods, the corresponding point being associated with at least one pixel in the additional image to obtain corresponding points in the target image, unit setting a pixel value of each pixel included in the additional image as a sampling value for the corresponding point when each pixel is set as a target pixel, to obtain sampling values for pixels included in the additional image, and unit generating an image of a first resolution into which a second resolution of the target image is converted, using pixel values and positions of pixels included in the target image, and the sampling values and positions of the corresponding points.

Abstract: A method includes inputting to-be-processed data including a set of first-N-dimensional-coordinate values in an N-dimensional space and first-sampling values, inputting search-pattern data including a set of second-N-dimensional-coordinate values in the N-dimensional space and second-sampling values, setting a set of virtual-corresponding points designated by third-N-dimensional-coordinate values, acquiring input patterns each including third-sampling values within a first range with reference to a corresponding virtual-corresponding point, acquiring search patterns each including fourth-sampling-values within a second range with reference to a corresponding second-N-dimensional-coordinate value of the second-N-dimensional-coordinate values in correspondence with each of the second-N-dimensional-coordinate values, detecting, from the search pattern data, an estimated pattern including one search pattern and having smaller differences with respect to the input patterns than other search patterns, setting sampl

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 resolution increasing method include setting a first block which is included in a low resolution image and is located at a first position, and a second block which is included in a high resolution image and is located at a second position, and setting, as an increasing resolution block of the first block, a third block expressed by a second vector obtained by projecting a first vector representing the second block to a linear manifold as a set of vectors that indicate fourth blocks of the second block size, the fourth blocks becoming the first block due to reduced resolution, in a Euclidean space having, as the number of dimensions, a product of the number of pixels arranged vertically in the second block size and the number of pixels arranged horizontally in the second block size.

Abstract: An apparatus includes a first-acquisition unit acquiring, from target image data, an input image pattern including pixel values within a predetermined range with reference to each of ideal corresponding points, a second-acquisition unit acquiring, as candidate image patterns, from search-image-pattern data, a first candidate image pattern including pixel values within the predetermined range, a finding unit finding, from the search-image-pattern data, an estimated image pattern as a second candidate image pattern of the candidate image patterns which has a smaller difference from the input image pattern than other candidate image patterns, a first setting unit setting pixel values of positions corresponding to the ideal corresponding points in the estimated image pattern as pixel values at the ideal corresponding points, and a conversion unit converting a resolution of the target-image data using the N-dimensional coordinate values and the pixel values corresponding to the N-dimensional coordinate values.