Abstract: There is provided an image processing device including: a motion vector acquirer, a position generator, a weight calculator and an image generator. The acquirer acquires motion vectors with respect to a reference frame for pixels of an input frame. The position generator generates first position information indicating a position on a first frame on a basis of position information in the input frame and the motion vector of the pixel, for each pixel of the input frame. The calculator calculates a weight depending a distance from the position indicated by first position information to a pixel of the first frame, for each pixel of the first frame. The generator calculates an output pixel value, for each pixel of the first frame, on a basis of the weight and a pixel value of the pixel in the input frame, to generate an output frame.

Abstract: An image analyzing apparatus includes computer. The computer is programmed to obtain a motion vector from a first image toward a second image and calculate an evaluation value depending on a magnitude of frequency components. The frequency components have a higher frequency than a first frequency determined based on the motion vector. The computer is also programmed to detect a particular area from the first image based on the evaluation value.

Abstract: An optical semiconductor device is provided as one achieving reduction of power in phase control. The optical semiconductor device has: a first optical waveguide having a plurality of segments each of which has a diffraction grating region with a diffraction grating and a space portion coupled to the diffraction grating region, having two ends interposed between the diffraction grating regions, and having a constant optical length, wherein at least one of the segments is provided with a phase shift structure; a first phase control device for adjusting a phase of light in each segment with the phase shift structure; and a second phase control device for adjusting a phase of light in each segment without the phase shift structure.

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: An image processing apparatus includes an acquisition module, a computation module and an image generator. The acquisition module acquires a first image including a substance-unapplied region of a subject and a second image including a substance-applied region of a subject. The first and second images are taken by an imager or imagers having the same sensor characteristics. The computation module computes reflection characteristic of the subject based on the first image and computes application amount of the substance applied to the subject based on the second image and the computed reflection characteristic. The image generator generates an image to be displayed based on the second image and the computed application amount.

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: A device according to embodiments comprises an acquisition unit, a calculation unit, a selection unit, a generation unit, a projection unit, a denoising unit and a reconstruction unit. The acquisition unit may acquire a plurality of basis pattern for converting a first region and a second region in a target image. The calculation unit may calculate a contribution ratio of each basis pattern. The selection unit may select one or more basis patterns from higher contribution ratio to lower contribution ratio until a sum of selected contribution ratios reaches a specific first threshold. The generation unit may generate a control signal increasing with the number of the basis pattern selected by the selection unit. The projection unit may project a third region in the target image to the basis patterns to obtain a projection coefficient.

Abstract: According to an image processing apparatus includes an acquisition unit, a storage unit, and a convolution unit. The acquisition unit is configured to acquire an input image captured via an optical system. The storage unit is configured to store therein a coefficient designed through learning for each of positions of respective pixel sets referred to in a convolution such that a result of the convolution of a second image with the coefficient is brought nearer to a first image, the second image being obtained by deteriorating the first image through a predetermined deterioration process. The convolution unit is configured to read the coefficient from the storage unit correspondingly to a position of a pixel set referred to in the input image, and generate an output image by convoluting the pixel set with the coefficient.

Abstract: According to an embodiment, an illumination apparatus includes a light source that emits at least two types of lights having different spectral distributions and a controller. The controller starts controlling of the light source. The controller sequentially performs switching-controlling of pre-set lighting-up patterns of the light source so as to switch at least one of a combination of the lights having different spectral distributions of the light source and a combination of intensities of the light source in response to the start of the control of the light source. The controller ends controlling of the light source after at least the switching-controlling of all the pre-set lighting-up patterns of the light source is performed.

Abstract: According to an embodiment, a control apparatus includes an identification unit and a derivation unit. The identification unit is configured to identify an attribute of an object included in image data. The derivation unit is configured to derive a combination of at least two types of light sources and lighting rates of the light sources, based on the identified attribute of the object, the lights having different spectral power distributions.

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 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 one embodiment, an image processing apparatus includes following units. The extraction unit extracts, from image data including a plurality of pixels, wavelength signal values of the plurality of pixels. The light attenuation amount calculation unit calculates a light attenuation amount based on a ratio of a wavelength signal value of a target pixel to a representative signal value obtained from wavelength signal values of a local region around the target pixel. The pigment amount calculation unit calculates a pigment amount of a predetermined pigment component at the target pixel by resolving the light attenuation amount using an absorbance base of the predetermined pigment component.

Abstract: According to an embodiment, a control device includes a first calculator and a second calculator. The first calculator is configured to calculate a wavelength of light to be emitted from a light source whose emission intensity is controllable and which has at least one light emitting element at predetermined time intervals in a manner that adjusts the wavelength by a predetermined amount of change within a range of a first wavelength of light to be emitted at a start of adjustment to a second wavelength of light to be emitted at an end of the adjustment, the calculated wavelength being set as a third wavelength. The second calculator is configured to calculate an emission intensity of the light emitting element at the third wavelength.

Abstract: A semiconductor laser includes: a first reflector that is provided in a gain region and has a sampled grating in which a plurality of segments are combined; and a second reflector that is optically connected to the first reflector and has a sampled grating in which a plurality of segments are combined, the plurality of segments of the first reflector having a short-segment region and a long-segment region, the long-segment region having an optical length that is larger than that of the short-segment region and being positioned closer to the second reflector than at least one of the short-segment region, the optical length of the long-segment region being larger than that of the short-segment region in a range of integral multiple (n?1) plus-minus 25% of the optical length of the short-segment.

Abstract: According to one embodiment, a first extraction unit extracts a first group of pixels having a specific hue from an input image. A second extraction unit extracts a second group of pixels having large distance from a reference axis on a plane defined by a chroma axis and a luminance axis from the first group. A first transform unit executes a plurality of color-transform processing to the second group and obtains a plurality of third groups of pixels as the second group transformed by each color-transform processing. A reliability calculation unit calculates a reliability of each third group. The reliability is larger when pixels of the third group are more located in shape of a straight line on the plane. A selection unit selects a color-transform processing by which the third group has the largest reliability from the plurality of color-transform processing. A second transform unit executes the color-transform processing to the input image to obtain an output image.

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 sptectrum 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: According to one embodiment, an image processing apparatus includes an acquisition unit, a clustering unit, a detection unit, and a correction unit. The acquisition unit is configured to acquire a moving image including a plurality of frames. The clustering unit is configured to cluster frames having a similar scene to the same group in the moving image. The detection unit is configured to detect at least one object region from each frame clustered to the same group, and to calculate a color distribution of the object region of the each frame. The correction unit is configured to select a typical color distribution of the object region from the color distribution of the each frame, and to correct a color of the each frame clustered to the same group, based on the typical color distribution.

Abstract: According to an embodiment, an image processing apparatus includes a feature data calculator, a generating unit, and an adding unit. The feature data calculator calculates feature data representing changes in pixel values within a first range of an input image. The generating unit obtains a weight of a predetermined image pattern on the basis of a probability distribution and the feature data. The weight represents a pattern of changes in the pixel values. The probability distribution represents a distribution of relative values of feature data of a learning image containing a high-frequency component with respect to feature data of a learning image. The generating unit weights the predetermined image pattern with the weight so as to generate a high-frequency component with respect to the input image. The adding unit adds the high-frequency component to the input image.