Abstract: According to the present invention, there can be provided a photocurable composition comprising a sulfur (a) having a cyclic structure represented by the following formula (1), an episulfide compound (b), and a photopolymerization initiator (c), wherein the content of the sulfur (a) is 1 to 28 parts by mass, with respect to the total mass (100 parts by mass) of the sulfur (a) and the episulfide compound (b):

Abstract: An image acquisition apparatus includes an optical system including a lens and forming a subject image; an image acquisition device having an image acquisition surface on which the subject image is formed and acquiring a plurality of images; a shifting mechanism causing the device and system to relatively shift in a direction parallel to the surface; and a processor configured to: calculate a movement amount of the subject image on the surface; calculate a relative shift amount of the device and system on the basis of the calculated movement amount; and cause the device and system to relatively shift, between acquisitions of the plurality of images, by the calculated shift amount. The device acquires a plurality of pre-images before acquiring the plurality of images, and the processor is configured to calculate the movement amount of the subject image from a movement amount of the subject between the plurality of pre-images.

Abstract: An image processing device comprises: one or more processors comprising hardware, the one or more processors being configured to: generate a high-resolution combined image by aligning a plurality of time-series images with each other in a high-resolution image space having a resolution higher than the plurality of time-series images based on an amount of displacement between the plurality of time-series images, and combining the plurality of time-series images; generate a low-resolution combined image by aligning the plurality of time-series images with each other in a low-resolution image space having a resolution equal to or lower than the resolution of the plurality of time-series images based on the amount of displacement, combining the plurality of time-series images through weighted addition; calculate a feature quantity pertaining to a pixel-value change direction at each region in the generated low-resolution combined image; and correct the high-resolution combined image based on the calculated featur

Abstract: An image processing device combines a plurality of time-series images to generate a composite image with a higher resolution than a resolution of the plurality of images. The image processing device includes a processor that includes hardware and that is configured to: detect depth information of at least one image of the plurality of images; and set the number of images to be combined for generating the composite image on the basis of the detected depth information. The depth information indicates a depth of a captured scene of the at least one image. The processor is configured to reduce the number of images as the depth of the captured scene increases.

Abstract: An image acquisition apparatus includes an optical system including a lens and forming a subject image; an image acquisition device having an image acquisition surface on which the subject image is formed and acquiring a plurality of images; a shifting mechanism causing the device and system to relatively shift in a direction parallel to the surface; and a processor configured to: calculate a movement amount of the subject image on the surface; calculate a relative shift amount of the device and system on the basis of the calculated movement amount; and cause the device and system to relatively shift, between acquisitions of the plurality of images, by the calculated shift amount. The device acquires a plurality of pre-images before acquiring the plurality of images, and the processor is configured to calculate the movement amount of the subject image from a movement amount of the subject between the plurality of pre-images.

Abstract: An image processing device includes one or more processors configured to: generate a high-resolution combined image by aligning the plurality of images with each other in a high-resolution image space based on an amount of displacement between the plurality of images, and combining the plurality of images; generate at least two low-resolution combined images by generating at least two groups each composed of at least two images by dividing the plurality of images in the time direction, aligning the at least two images in each of the groups with each other in a low-resolution image space based on the amount of displacement, and combining the at least two images through weighted addition; calculate, in each region, a feature quantity pertaining to a correlation between the generated at least two low-resolution combined images; and correct the high-resolution combined image based on the calculated feature quantity.

Abstract: An image processing device includes: a frame memory that saves a cyclic image of an immediately preceding frame as a reference image; and a processor comprising hardware. The processor is configured to: decompose an input image into a plurality of resolution images; set, as a base image, an image having a lower resolution than the input image among the plurality of resolution images and that detects a motion vector between the base image and the reference image; subject the reference image to motion compensation on the basis of the motion vector to generate a motion-compensated image; combine the base image with the motion-compensated image to generate a noise-reduced base image that serves as a new cyclic image; and combine the noise-reduced base image with the resolution image or resolution images other than the base image among the plurality of resolution images.

Abstract: An image processing device includes a processor configured to: extract pixel blocks; detect pixels having a maximum value and a minimum value in each of the pixel blocks; calculate reference value candidates from the maximum and the minimum values; calculate an absolute difference value relative to each of the maximum value, the minimum value, and the reference value candidates; divide each of the pixel blocks into subblocks; select, as a reference value from among the reference value candidates in each of the subblocks, a reference value candidate close to the pixel values in which the pixels included in each of the subblocks are distributed; extract a closest difference value, the minimum value, and the reference value; quantize each of the closest difference values into a quantization value by using the difference value that is the largest from among the closest difference values; and code the quantization value.

Abstract: An image processing device comprises: one or more processors comprising hardware, the one or more processors being configured to: generate a high-resolution combined image by aligning a plurality of time-series images with each other in a high-resolution image space having a resolution higher than the plurality of time-series images based on an amount of displacement between the plurality of time-series images, and combining the plurality of time-series images; generate a low-resolution combined image by aligning the plurality of time-series images with each other in a low-resolution image space having a resolution equal to or lower than the resolution of the plurality of time-series images based on the amount of displacement, combining the plurality of time-series images through weighted addition; calculate a feature quantity pertaining to a pixel-value change direction at each region in the generated low-resolution combined image; and correct the high-resolution combined image based on the calculated featur

Abstract: An image processing device includes one or more processors configured to: generate a high-resolution combined image by aligning the plurality of images with each other in a high-resolution image space based on an amount of displacement between the plurality of images, and combining the plurality of images; generate at least two low-resolution combined images by generating at least two groups each composed of at least two images by dividing the plurality of images in the time direction, aligning the at least two images in each of the groups with each other in a low-resolution image space based on the amount of displacement, and combining the at least two images through weighted addition; calculate, in each region, a feature quantity pertaining to a correlation between the generated at least two low-resolution combined images; and correct the high-resolution combined image based on the calculated feature quantity.

Abstract: An image acquisition device includes: an image acquisition unit that acquires images of a subject in time series; a hierarchical motion-detection unit that can detect a motion vector between the images acquired by the image acquisition unit, by using images at two or more levels having different resolutions; a pixel-value-change detecting unit that divides the images acquired by the image acquisition unit into a plurality of partial regions and that detects a temporal change of the pixel value at a detection pixel set in each of the partial regions; and a hierarchical-motion-detection setting unit that sets a larger number of levels used in the hierarchical motion-detection unit, for any of the partial regions that includes the detection pixel at which the temporal change detected by the pixel-value-change detecting unit is larger.

Abstract: An image-processing device includes a high-resolution combining portion that generates a combined image by combining a standard image and at least one reference image, which are acquired by capturing images of a subject in time series by using an imaging element in which multiple types of color filters are arrayed in individual pixels, in a high-resolution space where the resolution is greater than those of the standard image and the reference images.

Abstract: An image processing device includes a processor configured to: extract pixel blocks; detect pixels having a maximum value and a minimum value in each of the pixel blocks; calculate reference value candidates from the maximum and the minimum values; calculate an absolute difference value relative to each of the maximum value, the minimum value, and the reference value candidates; divide each of the pixel blocks into subblocks; select, as a reference value from among the reference value candidates in each of the subblocks, a reference value candidate close to the pixel values in which the pixels included in each of the subblocks are distributed; extract a closest difference value, the minimum value, and the reference value; quantize each of the closest difference values into a quantization value by using the difference value that is the largest from among the closest difference values; and code the quantization value.

Abstract: An image processing device includes: a frame memory that saves a cyclic image of an immediately preceding frame as a reference image; and a processor comprising hardware. The processor is configured to: decompose an input image into a plurality of resolution images; set, as a base image, an image having a lower resolution than the input image among the plurality of resolution images and that detects a motion vector between the base image and the reference image; subject the reference image to motion compensation on the basis of the motion vector to generate a motion-compensated image; combine the base image with the motion-compensated image to generate a noise-reduced base image that serves as a new cyclic image; and combine the noise-reduced base image with the resolution image or resolution images other than the base image among the plurality of resolution images.

Abstract: An information processing apparatus includes a first communication device configured to have a first communication driver, a second communication device configured to have a second communication driver, a memory, and a processor coupled to the memory and configured to activate the second communication driver based on an identifier of the second communication driver included in a message accepted by the first communication driver, and transfer the message from the first communication driver to the second communication driver.

Abstract: An image-processor includes: a discrete-motion-vector calculator calculating motion vectors of individual measurement regions and confidences thereof based on a standard image and a reference image or a combined image generated based on the reference image; a global-vector calculator separately calculating, based on the motion vectors and the confidences thereof, a global vector of the standard image, a confidence thereof, a local vector of a processing target region in the standard image, and a confidence of the local vector; a local-vector interpolator; a local-vector-confidence interpolator; a motion-vector selector selecting the local vector or the global vector based on at least one of the local vector, the confidence thereof, the global vector, and the confidence thereof; a motion-compensated-image generator generating, based on the selected vector, a motion-compensated image of the reference image or the combined image; and a blender weighted adding the processing target region and the motion-compensat

Abstract: An image acquisition device according to the present invention includes: an image acquisition unit that acquires images of a subject in time series; a hierarchical motion-detection unit that can detect a motion vector between the images acquired by the image acquisition unit, by using images at two or more levels having different resolutions; a pixel-value-change detecting unit that divides the images acquired by the image acquisition unit into a plurality of partial regions and that detects a temporal change of the pixel value at a detection pixel set in each of the partial regions; and a hierarchical-motion-detection setting unit that sets a larger number of levels used in the hierarchical motion-detection unit, for any of the partial regions that includes the detection pixel at which the temporal change detected by the pixel-value-change detecting unit is larger.

Abstract: An image-processing device includes a high-resolution combining portion that generates a combined image by combining a standard image and at least one reference image, which are acquired by capturing images of a subject in time series by using an imaging element in which multiple types of color filters are arrayed in individual pixels, in a high-resolution space where the resolution is greater than those of the standard image and the reference images.

Abstract: A solid-state imaging device includes a pixel signal processing unit including a plurality of pixels; a plurality of first charge storage circuits which are configured to hold the first signal charges generated by the photoelectric conversion units and output first signal voltages as first pixel signals; and a plurality of second charge storage circuits which are configured to hold second signal charges and output second signal voltages, and a differential analog/digital conversion unit includes: a plurality of first differential calculation units; a plurality of first analog/digital conversion units which are configured to perform analog/digital conversion to the first differential pixel signals and output digital values indicating magnitudes of the first differential pixel signals; and a plurality of second analog/digital conversion units which are configured to perform analog/digital conversion to the second pixel signal and output digital values indicating magnitudes of the second pixel signals.

Abstract: A solid-state imaging device includes a pixel signal processing unit including a plurality of pixels; a plurality of first charge storage circuits which are configured to hold the first signal charges generated by the photoelectric conversion units and output first signal voltages as first pixel signals; and a plurality of second charge storage circuits which are configured to hold second signal charges and output second signal voltages, and a differential analog/digital conversion unit includes: a plurality of first differential calculation units; a plurality of first analog/digital conversion units which are configured to perform analog/digital conversion to the first differential pixel signals and output digital values indicating magnitudes of the first differential pixel signals; and a plurality of second analog/digital conversion units which are configured to perform analog/digital conversion to the second pixel signal and output digital values indicating magnitudes of the second pixel signals.