Abstract: An image sensing device is provided to comprise first to fourth pixel groups arranged in a (2×2) matrix including two rows and two columns, wherein each of the first to fourth pixel groups includes 1) at least one of a red pixel including a red color filter configured to transmit light corresponding to a red color, a green pixel including a green color filter configured to transmit light corresponding to a green color, or a blue pixel including a blue color filter configured to transmit light corresponding to a blue color, and 2) at least one cyan pixel including a cyan color filter configured to transmit light corresponding to the green color and the blue color.

Abstract: An imaging device may include an image sensing device including a plurality of pixels to detect incident light from a scene to generate a pixel signal corresponding to the incident light and generate image data, wherein the image sensing device operates to perform imaging operation in response to a control signal, a luminance acquisition unit to acquire the image data corresponding to first pixels among the plurality of pixels associated with a target region of an image of the scene captured by the image sensing device, a controllable item acquisition unit to acquire one or more sensitivity items indicative of sensitivity of each pixel to light, as a controllable item, and a set value calculation unit to generate the control signal to the imagine sensing device by calculating a set value for the controllable item based on the image data of the target region and the controllable item.

Abstract: The present technology relates to an image processing device. The image processing device according to the present technology may include a buffer configured to parallelize pixel data of an image that is received from an external device based on the number of horizontal direction pixels that are used for a distortion interpolation operation and configured to store the parallelized pixel data in line memories, and a distortion interpolator configured to read interpolation data that are used for the distortion interpolation operation among the pixel data that are stored in the line memories based on coordinate information of a target pixel, which is a distorted pixel, and configured to perform the distortion interpolation operation based on the interpolation data.

Abstract: An image sensing system includes an image sensor, a sensing controller, an additional unit, and a sensing parameter calculator. The image sensor includes a plurality of unit pixels and configured to generate raw image data indicative an image of an object from pixel signals from the plurality of unit pixels. The sensing controller is configured to control, based on a sensing parameter, a sensing condition of the image sensor for each set of the unit pixels. The parameter addition circuit is configured to obtain a parameter added data by adding the sensing parameter and the raw image data. The sensing parameter calculator is configured to calculate a distribution of pixel values for each set of the unit pixels, calculate an updated sensing parameter based on the distribution of pixel values, and transmit the updated sensing parameter to the sensing controller and the parameter addition circuit.

Abstract: The semiconductor module includes: a heat dissipation board including first to third wiring patterns; a first metal plate on the first wiring pattern, a second metal plate on the second wiring pattern, a first semiconductor chip and a first intermediate board which are on the first metal plate, a second semiconductor chip and a second intermediate board which are on the second metal plate. A first metal film on the first intermediate board is electrically connected to the first semiconductor chip and the second metal plate, and a second metal film on the second intermediate board is electrically connected to the second semiconductor chip and the third wiring pattern.

Abstract: An image processing device is disclosed. The image processing device includes at least one first pixel having a first sensitivity, a second pixel having a second sensitivity different from the first sensitivity, a processor, and a synthesizer. The processor calculates a sampling position of the at least one first pixel and a sampling position of the second pixel, determines a reference position and adjusts the sampling position of the at least one first pixel or the second pixel based on the reference position.

Abstract: An image sensing system includes an image sensor, a sensing controller, an additional unit, and a sensing parameter calculator. The image sensor includes a plurality of unit pixels and configured to generate raw image data indicative an image of an object from pixel signals from the plurality of unit pixels. The sensing controller is configured to control, based on a sensing parameter, a sensing condition of the image sensor for each set of the unit pixels. The parameter addition circuit is configured to obtain a parameter added data by adding the sensing parameter and the raw image data. The sensing parameter calculator is configured to calculate a distribution of pixel values for each set of the unit pixels, calculate an updated sensing parameter based on the distribution of pixel values, and transmit the updated sensing parameter to the sensing controller and the parameter addition circuit.

Abstract: An imaging device includes an image sensing device and an image signal processor. The imaging sensing device includes a pixel array of sensing pixels comprising a first pixel for sensing incident light and having a first dynamic range and a second pixel for sensing incident light and having a second dynamic range, the pixel array of sensing pixels structured to have a ratio of a number of the first pixels to all sensing pixels to be higher than a ratio of a number of second pixels to all sensing pixels. The image signal processor is configured to receive and process pixel data from the image sensing device to generate a high dynamic range (HDR) image corresponding to a larger dynamic range than the first dynamic range or the second dynamic range, based on pixel data of the first pixels and pixel data of the second pixels in the pixel array.

Abstract: A switch circuit is configured of a first semiconductor element and a second semiconductor element connected in series, and receives a DC voltage of 100 V or more. The drive circuit causes the first semiconductor element or the second semiconductor element to perform a switching operation. The isolated power supply circuit converts a predetermined power supply voltage into an isolated first power supply voltage, and outputs the first power supply voltage to the drive circuit. The isolation signal converter converts a first signal of 6 MHz or more into an isolated first drive signal, and outputs the first drive signal to the drive circuit. The single substrate mounts the isolated power supply circuit and the isolation signal converter. Both the first semiconductor element and the second semiconductor element are wide bandgap semiconductor elements.

Abstract: An imaging device may include an image sensing device including a plurality of pixels to detect incident light from a scene to generate a pixel signal corresponding to the incident light and generate image data, wherein the image sensing device operates to perform imaging operation in response to a control signal, a luminance acquisition unit to acquire the image data corresponding to first pixels among the plurality of pixels associated with a target region of an image of the scene captured by the image sensing device, a controllable item acquisition unit to acquire one or more sensitivity items indicative of sensitivity of each pixel to light, as a controllable item, and a set value calculation unit to generate the control signal to the imagine sensing device by calculating a set value for the controllable item based on the image data of the target region and the controllable item.

Abstract: An image processing device is disclosed. The image processing device includes at least one first pixel having a first sensitivity, a second pixel having a second sensitivity different from the first sensitivity, a processor, and a synthesizer. The processor calculates a sampling position of the at least one first pixel and a sampling position of the second pixel, determines a reference position and adjusts the sampling position of the at least one first pixel or the second pixel based on the reference position.

Abstract: An image processing device that corrects an image captured by an imaging sensor is capable of setting an exposure condition for each of a plurality of regions and includes an acquisition unit configured to acquire the image by setting the exposure condition for each region in the imaging sensor, a derivation unit configured, regarding a boundary between a region of interest and at least one adjacent region adjacent to the region of interest in the image, to derive a correction amount in the region of interest based on pixel values of a boundary pixel group in contact with the boundary included in the region of interest and pixel values of a boundary pixel group in contact with the boundary included in the adjacent region, and a correction unit configured to correct pixel values of pixels in the region of interest based on the derived correction amount.

Abstract: A non-local means method is insufficient in its noise reduction effect or edge retainability due to a perfect match between blocks in a case where a reference pixel matches a target pixel. Therefore, information on a target region and plural reference regions is obtained for the target pixel. Whether the target region matches any one of the reference regions is determined from the obtained information. Switching between weight derivation methods based on similarity between the target region and the reference region is performed according to a determined result.

Abstract: The semiconductor module includes: a heat dissipation board including first to third wiring patterns; a first metal plate on the first wiring pattern, a second metal plate on the second wiring pattern, a first semiconductor chip and a first intermediate board which are on the first metal plate, a second semiconductor chip and a second intermediate board which are on the second metal plate. A first metal film on the first intermediate board is electrically connected to the first semiconductor chip and the second metal plate, and a second metal film on the second intermediate board is electrically connected to the second semiconductor chip and the third wiring pattern.

Abstract: A non-local means method is insufficient in its noise reduction effect or edge retainability due to a perfect match between blocks in a case where a reference pixel matches a target pixel. Therefore, information on a target region and plural reference regions is obtained for the target pixel. Whether the target region matches any one of the reference regions is determined from the obtained information. Switching between weight derivation methods based on similarity between the target region and the reference region is performed according to a determined result.

Abstract: An image processing apparatus configured to divide an image into frequency bands and reduce noise, in which a first image includes a high-band frequency component, and a second image includes a low-band frequency component, includes: a first detecting unit configured to detect an edge in at least one of the first image and the second image; a second detecting unit configured to detect a low-contrast edge that is of a lower contrast than a contrast of the edge detected by the first detecting unit in the at least one of the first image and the second image; a compositing unit configured to composite the first image and the second image using a weighting corresponding to the edge and the low-contrast edge.

Abstract: An image processing apparatus includes a setting unit, a detection unit, a matrix calculation unit, a calculation unit, an obtaining unit, a deriving unit, a patch correction unit, and a generation unit. The setting unit sets a target patch in an input image. The detection unit detects a plurality of similar patches in the input image. The matrix calculation unit calculates a covariance matrix representing correlation between pixels based on the plurality of similar patches. The calculation unit calculates eigenvalues and eigenvectors of the covariance matrix. The obtaining unit obtains a noise amount in the input image. The deriving unit derives a correction matrix based on the eigenvalues, the eigenvectors, the noise amount, and the number of similar patches. The patch correction unit corrects values of pixels in the similar patches based on the correction matrix. The generation unit generates an output image by combining the corrected similar patches.

Abstract: To generate a favorable image that suppresses the occurrence of pattern noise in a method of performing patch-based noise reduction for a RAW image. In order to attain this object, the image processing apparatus of the present invention includes a pixel setting unit; a patch setting unit; and a noise reduction unit. Then, the pixel setting unit sets, for one pixel of interest, at least two kinds of pixel whose positions are different in a minimum unit of the color filter array as the plurality of reference pixels. Further, the patch setting unit sets, for one pixel of interest, at least two kinds of reference patch whose shapes are different.

Abstract: An image processing device that corrects an image captured by an imaging sensor capable of setting an exposure condition for each of a plurality of regions includes an acquisition unit configured to acquire the image by setting the exposure condition for each region in the imaging sensor, derivation unit configured to, regarding a boundary between a region of interest and at least one adjacent region adjacent to the region of interest in the image, derive a correction amount in the region of interest based on pixel values of a boundary pixel group in contact with the boundary included in the region of interest and pixel values of a boundary pixel group in contact with the boundary included in the adjacent region, and correction unit configured to correct pixel values of pixels in the region of interest based on the derived correction amount.

Abstract: A non-local means method is insufficient in its noise reduction effect or edge retainability due to a perfect match between blocks in a case where a reference pixel matches a target pixel. Therefore, information on a target region and plural reference regions is obtained for the target pixel. Whether the target region matches any one of the reference regions is determined from the obtained information. Switching between weight derivation methods based on similarity between the target region and the reference region is performed according to a determined result.