Abstract: A wavelength monitor monolithically integrated with a tunable LD is disclosed. The wavelength monitor includes at least two filters, each having a periodic transmission spectrum but a period between nearest neighbor periods is different from the other. A transmittance of the first filter and another transmittance of the second filter at a grid wavelength attributed to the WDM system forms a combination which is specific to the grid wavelength bur different from other combinations at other grid wavelengths.

Abstract: In an embodiment, an illuminating device includes a light source, a light source control unit, an estimation unit, a first calculating unit, and a second calculating unit. The light source includes light emitters, each having a different spectral distribution. The light source control unit determines an emission intensity of each of the light emitters. The estimation unit estimates a spectral reflectivity of an object. The first calculating unit calculates a first evaluation value, indicating an adequacy of a color of the object visually perceived, based on the spectral distributions and the spectral reflectivity. The second calculating unit calculates a second evaluation value, indicating how much an influence is given by the illuminating light to factors other than a visual sense. The light source control unit determines the emission intensities by which the first evaluation value and the second evaluation value satisfy a restraint condition determined beforehand.

Abstract: According to an embodiment, an illumination device includes a light source whose emission intensity is controllable; an identifying unit configured to identify an activity of a user; and a light source controller configured to control the emission intensity of the light source so that a level of arousal of the user becomes lower than a predetermined level when the identified activity is a learning activity representing an activity to form a memory in the brain of the user.

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 wavelength tunable laser diode (LD) is disclosed. The LD provides a SG-DFB region and a CSG-DBR region. The SG-DFB region shows a gain spectrum with a plurality of gain peaks, while, the CSG-DBR region shows a reflection spectrum with a plurality of reflection peaks. The LD may emit light with a wavelength at which the one of the gain peaks and one of the reflection peaks coincides. In the present LD, both the gain spectrum and the reflection spectrum are modified by adjusting the temperature of the SG-DFB region and that of the CSG-DBR region independently.

Abstract: According to an embodiment, a recognition device includes a generation unit to select, plural times, groups each including learning samples from a storage unit, learn a classification metric for classifying the groups selected in each selection, and generate an evaluation metric including the classification metrics; a transformation unit to transform a first feature value of an image including an object into a second feature value using the evaluation metric; a calculation unit to calculate similarities of the object to categories in a table using the second feature value and reference feature values; and a registration unit to register the second feature value as the reference feature value in the table associated with the category of the object and register the first feature value as the learning sample belonging to the category of the object in the storage unit. The generation unit performs the generation again.

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: 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: 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: 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 an embodiment, an image processing apparatus includes a generation unit. The generation unit generates a texture image by searching for a similar pixel area to a processed pixel area near a processing target pixel in the texture image from a neighboring area at a position corresponding to the processing target pixel in a sample texture image and assigning the processing target pixel a pixel value near the similar pixel area in accordance with a positional relationship between the processed pixel area and the processing target pixel. The generation unit searches for the similar pixel area based on a similarity between a pixel value in a pixel area in the neighboring area and a pixel value in the processed pixel area and a determination result indicating whether each pixel in the neighboring area expresses a same object as that expressed by the processing target pixel.

Abstract: According to an embodiment, an image processing apparatus includes a generation unit. The generation unit generates a texture image by searching for a similar pixel area to a processed pixel area near a processing target pixel in the texture image from a neighboring area at a position corresponding to the processing target pixel in a sample texture image and assigning the processing target pixel a pixel value near the similar pixel area in accordance with a positional relationship between the processed pixel area and the processing target pixel. The generation unit searches for the similar pixel area based on a similarity between a pixel value in a pixel area in the neighboring area and a pixel value in the processed pixel area and a determination result indicating whether each pixel in the neighboring area expresses a same object as that expressed by the processing target pixel.

Abstract: An image processing device includes: an estimating module configured to estimate boundaries of blocks in an input image; a characteristic value calculating module configured to calculate a characteristic value of a subject pixel group having constituent pixels including a pixel in the frame and at least one pixel that is adjacent to the pixel by calculating a degree of pixel value dispersion between the constituent pixels of the subject pixel group if all the constituent pixels belong to the same block; an strength value calculating module configured to calculate, from the characteristic value, a strength value to be used in performing pixel value smoothing; and a smoothing module configured to perform the pixel value smoothing according to the strength value.

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 tunable LD with reduced number of the butt joint is disclosed. The tunable LD includes the reflector and a waveguide core. The reflector includes a plurality of segments each having a grating region and a space region adjacent to the grating region. The waveguide core includes a gain region extending in two segments adjacent to each other and a tuning region extending in two segments adjacent to each other and also adjacent to the segment for the gain region.

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.

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.

Abstract: According to a data display method, data having a program unit and instruction data for the program unit multiplexed on bit stream data is received. The program unit is extracted from the received data and is stored in a memory. The instruction data is extracted from the received data, and the program unit or part thereof specified by the instruction data is read from the memory and is executed. Then, the bit stream data and the execution result are displayed. This ensures smooth synchronization of reproduction of a bit stream with execution of an associated program and efficient use of resources.