Abstract: According to an embodiment, an encoding device includes a processor and a memory. The processor applies a filter to first and second images included in moving image (video) data. The processor encodes the first and second images to which the filter has been applied and generates encoded data. The processor generates, on the basis of an encoding completion target time of the first image included in the moving image data, a target value of an encoding time spent for encoding the second image to be encoded after the first image. The processor controls the applying of the filter for the second image depending on the target value of the encoding time.

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 copper foil for producing graphene including Cu having a purity of 99.95% by mass or more.

Abstract: According to an embodiment, a signal processing device includes a background calculator, a signal generator, an extractor, a similarity calculator, and a mixer. The background calculator is configured to calculate a first background signal in which a speech signal is removed, based on the acoustic signals. The signal generator is configured to generate a reference signal from at least one of the acoustic signals. The extractor is configured to extract a second background signal by removing a speech signal from the reference signal. The similarity calculator is configured to calculate a similarity between feature data of the background signals. The mixer is configured to calculate a weighted sum of the background signals in such a way that a greater weight is given to the first background signal as the similarity is higher and a greater weight is given to the second background signal as the similarity is lower.

Abstract: According to an embodiment, an image processing apparatus includes a scattered light acquisition unit, a control information acquisition unit and a control unit. The scattered light acquisition unit acquires an amount of scattered light included in each pixel of an input image. The control information acquisition unit acquires control information determining an amount of scattered light included in each pixel of an output image. The control unit generates the output image by controlling the amount of the scattered light included in each pixel of the input image based on the control information.

Abstract: According to an embodiment, an image processing device includes a generator and a processor. The generator is configured to generate, from a plurality of unit images in which points on an object are imaged by an imaging unit at different positions according to distances between the imaging unit and the positions of the points on the object, a refocused image focused at a predetermined distance. The processor is configured to perform blurring processing on each pixel of the refocused image according to an intensity corresponding to a focusing degree of the pixel of the refocused image.

Abstract: According to an embodiment, an image processing device includes a generator, a determinator, and a processor. The generator is configured to generate a refocused image focused at a predetermined distance from a plurality of unit images for which points on an object are imaged at different positions according to distances between an imaging unit and the positions of the points on the object by the imaging unit. The determinator is configured to determine sampling information including pairs of positions of pixels of the plurality of unit images in the refocused image and pixel values of the pixels. The processor is configured to perform resolution enhancement on a predetermined region including a first position indicated by the sampling information of the refocused image according to an intensity corresponding to a focusing degree of a pixel corresponding to the first position.

Abstract: According to an embodiment, an image processing apparatus includes an obtaining unit and an image processing unit. The obtaining unit is configured to obtain depth information for each position in an image. The image processing unit is configured to switch between a first sharpening process and a second sharpening process in accordance with whether the image contains a predetermined area. The first sharpening process performs non-uniform sharpening on the image on the basis of the depth information; and the second sharpening process performs uniform sharpening on the image.

Abstract: According to one embodiment, An image processing method includes: estimating a composition of image data, for each piece of image data received in a temporal order to calculate a reliability indicating likelihood of the composition estimated; determining whether the composition estimated is different from a composition previously used which is a composition to be used for image data previously received and whether the reliability is equal to or higher than a predetermined first threshold, and updating a composition to be used to the estimated composition when the estimated composition is different from the composition previously used and compositions having the reliability equal to or higher than the first threshold are received successively equal to or more than a predetermined first number of times; and calculating an intensity at which a sharpening process of the image data is performed based on the composition to be used

Abstract: With an object of improving system maintainability, a system which evaluates a maintenance man-hour cost of a component quantitatively is provided, and consequently when a system designer designs a component which is a unit of a subsystem obtained by putting a function of a business application and data together, it is made possible to design the component with a minimum maintenance man-hour cost by extracting a maintenance pattern obtained by patterning an influence extension place, an amendment man-hour cost, and the like at time of maintenance on the basis of maintenance history information and evaluating a maintenance man-hour cost of the component according to the maintenance pattern.

Abstract: According to one embodiment, an image processing apparatus includes a calculation unit. The calculation unit calculates a reliability for each of pixel areas in such a manner that the reliability increases with increasing at least one of (1) a first evaluation value which increases with increasing planarity, in a color space, of a distribution of pixel values in each of the pixel areas, (2) a second evaluation value which increases with increasing wideness of pixel values in each of the pixel areas on an estimated plane approximating the distribution of the pixel values in each of the pixel areas in the color space, and (3) a third evaluation value which increases with decreasing distance between the estimated plane and an origin of the color space.

Abstract: A structure of instrument panel parts is proposed that is capable of increasing the support strength of a striker and the rigidity of an opening portion, and with which an enlarged storage volume can be achieved. The structure of an instrument panel has a storage portion arranged above a glove box. The structure includes an opening portion for a tray provided above the glove box; a tray constituting the storage portion, the tray being provided as a separate member from the instrument panel and being attached to the opening portion for the tray; a striker engaging a lock of the glove box; and a substantially flat plate-shaped striker reinforcement member supporting the striker. The lower side of the tray and the striker reinforcement member are fastened together to the instrument panel.

Abstract: An image processing apparatus includes an acquiring unit, an area acquiring unit, a separating unit, a processing unit, and a synthesizing unit. The acquiring unit acquires a depth value of an object in an input image. The area acquiring unit acquires boundary coordinates of the object. The separating unit separates the input image into a first component as a component with gradation of the object and a second component as a component other than the first component. The processing unit converts the first component in accordance with the depth value to generate a processed component. The synthesizing unit synthesizes the processed component and the second component to generate a synthesized component.

Abstract: According to one embodiment, an image display apparatus includes a display including a light ray controller and a light-emitting panel, an image acquisition unit, an interpolation process unit, and a sub-pixel rearrangement process unit. The image acquisition unit acquires a first image. The interpolation process unit performs an interpolation process for the first image to generate a second image. The interpolation process calculates a color of a first phase which is determined from a display specification including at least one of a size, tilt, and arrangement interval of the light ray controller, a pitch of sub pixels of the light emitting panel, and an arrangement of color filters. The sub-pixel rearrangement process unit generates a third image by rearranging colors in the second image for each sub-pixel. The light-emitting panel illuminates the third image.

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 structure of instrument panel parts is proposed that is capable of increasing the support strength of a striker and the rigidity of an opening portion, and with which an enlarged storage volume can be achieved. The structure of an instrument panel has a storage portion arranged above a glove box. The structure includes an opening portion for a tray provided above the glove box; a tray constituting the storage portion, the tray being provided as a separate member from the instrument panel and being attached to the opening portion for the tray; a striker engaging a lock of the glove box; and a substantially flat plate-shaped striker reinforcement member supporting the striker. The lower side of the tray and the striker reinforcement member are fastened together to the instrument panel.

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: According to one embodiment, an image processing device includes an obtaining unit, a separating unit, a processing unit and a combining unit. The obtaining unit obtains a depth value of a subject imaged on an input image. The separating unit separates the input image into a first component that is a component including a gradation and a second component that is a component other than the first component. The processing unit enhances the first component in accordance with the depth value to generate a processed component. The combining unit combines the processed component and the second component to generate a combined component.

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 device includes an acquisition unit, a memory, a search unit, and a synthesis unit. The acquisition unit acquires a moving image including a plurality of images, and sets a pixel in a process image as a target pixel. The process image is to be processed in the moving image. The memory stores a fine texture image obtained by extracting a texture component in a reference image different from the process image. The search unit sets a pixel position of the target pixel as a first position, and to search a predetermined range in the fine texture image in order to find a second position corresponding to the first position. The synthesis unit synthesizes a pixel value of the second position in the fine texture image with a pixel value of the target pixel.