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 enlarging apparatus includes: a luminance data calculation unit configured to set a reference frame from a video image, and to calculate first luminance data for a high resolution video image; a position calculation unit configured to set target pixels in at least one of frames included in the video image except the reference frame, and to calculate corresponding positions to the target pixels in the reference frame with decimal accuracy; a correction amount calculation unit configured to parallelly calculate correction amounts of the first luminance data for the corresponding positions based on the first luminance data, third luminance data of the target pixels, and the corresponding positions; an addition unit configured to calculate sum of correction amounts from the correction amounts; and a luminance data correction unit configured to correct the first luminance data based on the sum of the correction amounts.

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: 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 scroll position estimation apparatus includes a unit acquiring a complex document including main data and sub-data items, the main data being for determining a layout of presentation of the complex document, a unit visualizing the main data, a unit presenting the visualized main data, a unit acquiring scroll positions indicating display areas of the presented main data, a unit storing pairs of the scroll positions and times of acquiring the scroll positions, a unit estimating a future scroll position based on the scroll positions and the times, a unit computing priority levels of the sub-data items based on the estimated scroll position, the priority levels being used to determine order of visualization, a unit sequentially visualizing the sub-data items in accordance with the computed priority levels of the sub-data items, and a unit presenting the visualized sub-data items.

Abstract: A motor having a rotor in which a rotor magnet is fixed on the outer peripheral surface of a rotor body. The motor is configured so that the support shaft portion is formed of a material having a self-lubricating property, and a first sliding surface of the support shaft portion is supported rotatably. Also, the motor is configured so as to have a metallic motor casing, a rotor provided in the motor casing to drive a motor shaft projecting from the motor casing through a shaft hole in an end wall portion, a stator provided around the rotor in the motor casing to rotationally drive the rotor, a cover member provided to close the other end opening of the motor casing, and a connector body integrally formed of a resin so as to seal the other end opening of the motor casing from the outside of the cover member.

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: A path connecting a target sample of an arbitrary N-dimensional vector to a plurality of candidate samples in a sample set in an N-dimensional space having ?-dimensional positions and an ?-dimensional feature quantity is set. On the path, the feature quantity is integrated to obtain an integration value. Using the integration value as a variable value of a preset kernel function, a kernel function value corresponding to the target sample is calculated.

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: A stepping motor is disclosed which is capable of obtaining desired driving torque without sacrificing magnetic properties of a magnet with respect to a stator, reducing inertia mass of a rotor by decreasing a use amount of a magnet material, and thereby, can enhance driving performance including control responsiveness.

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.

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.

Abstract: An image processing apparatus for converting a low-resolution image into a high-resolution image. When a target pixel is located in an edge region, evaluation values relating to similarity between the target pixel and candidate pixels along a proximate line adjacent to the target pixel are calculated. A distribution of the evaluation values along each of the proximate lines by using an approximate function. Based on the value of the approximate function, a corresponding position of the target pixel on each of the proximate lines is calculated. A pixel value of the new pixel based on the pixel value of the target pixel and a distance between the new pixel and the specified line segments.

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: An image analysis method for analyzing the motion of an object by using the time-series image data. The method comprises inputting time-series image data, generating time-series object image data by extracting an object region from the time-series image data, and analyzing the motion of the object from the time-series object image data.

Abstract: An image analysis method for analyzing the motion of an object by using the time-series image data. The method comprises inputting time-series image data, generating time-series object image data by extracting an object region from the time-series image data, and analyzing the motion of the object from the time-series object image data.

Abstract: In a preferred embodiment, an image-combining apparatus 212 includes a photographing unit 201, a composition unit 202, an input unit 204, a creation unit 206, an adjustment end instruction unit 208, and a display 211. An image of an object is photographed at S1010; a previously determined information-provision graphic is created at S1020; the information-provision graphic is combined with the photographed image at S1030, and is displayed on a display 211. On a preliminary composite image, the foot position of the object may be higher than the foot position of the information-provision graphic, or the information-provision graphic and the image of the object may not fit each other in size, or the object may be inclined. Then, position or the like of the object on the image may be adjusted.

Abstract: A method and apparatus for reproducing metadata provides a data structure in which metadata whose preferential reproduction is desired can be selected and reproduced. The metadata relevant to a moving image includes a stream data structure including one or more access units each being a data unit which can be independently processed, and each of the access units includes first data to specify an effective period defined with respect to a time axis of the moving image, object area data describing a spatio-temporal region in the moving image, second data including one of or both of data to specify a display method relevant to the spatio-temporal region and data to specify a processing to be performed when the spatio-temporal region is specified, and third data to specify, in a case where one or more access units exist on a same screen in the moving image at a time of reproduction of the metadata, reproduction priority of each of the access units.

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 image-processing apparatus comprising: an image pickup device for taking pictures of subjects, thereby creating first and second subject images; an image combining unit for overlaying said first subject image with a partially-transparent image set with a transparent region, thereby creating a composite image; a display for displaying the composite image thus created; a memory for storing the second subject image; and a transparent-region setting unit for setting a transparent region in a part of the second subject image stored in the memory, thereby creating the partially-transparent image.