Abstract: An image processing apparatus 10 includes a first generation unit 11 which generates a plurality of lower-resolution images having different row-direction resolutions by changing a resolution in a row direction of an image to be processed to a plurality of lower resolutions, a second generation unit 12 which generates a differential image by taking a difference between two of the plurality of lower-resolution images, and a computation unit 13 which computes a correction amount for the pixel values of a predetermined column of the image to be processed by use of a statistical quantity of the pixel values of a predetermined column of the differential image.

Abstract: An object is to provide an image processing apparatus capable of appropriately distinguishing various object types. An image processing apparatus (1C) comprising: detector means (11) for detecting objects in an input SAR image and generating object chips; projection calculator means (12) for calculating projection information of each object using SAR geometry; feature learner means (14) for learning, for each object, a relation between an object chip and its projection information, and thereby generating learnt features of object chips; and classifier means (15) for classifying object chips into classes based on the learnt features of object chips.

Abstract: A video encoding device for encoding video using inter prediction includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on a minimum inter-PU size (PA) and a CU size (PB) of the CU to be encoded. A video decoding device includes decoding control means for controlling an inter-PU partition of a CU to be decoded, based on the minimum inter-PU size (PA) and the size (PB) of the CU to be decoded.

Abstract: A video encoding device includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of an encoded image block contained in the image block having the predetermined area. A video decoding device includes decoding control means for controlling an inter-PU partition type of a CU to be decoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of a decoded image block contained in the image block having the predetermined area.

Abstract: An image processing device 10 includes: a segmentation unit 21 that segments an input image 200 representing a result of observing an ocean surface region and a land surface region from overhead into ocean surface block images 211 and land surface block images 212, based on a segmentation criterion 210; a first determination unit 22 that determines a binarization criterion 220 for the ocean surface block images 211, based on a scattering model for electromagnetic waves in the ocean surface region; a second determination unit 23 that determines a binarization criterion 230 for the land surface block images 212, based on the binarization criterion 220 and a positional relationship between the ocean surface block images and the land surface block images; and a generation unit 25 that generates a land mask image 250 by performing binarization processing on the input image 200 based on the binarization criterion 220 and the binarization criterion 230.

Abstract: The purpose of the present invention is to reduce required calculation resources for image smoothing based on weighted least squares. The image processing device 100 includes: a first smoothing unit 110 for applying one-dimensional first smoothing processing based on weighted least squares to an input image in a first direction per a predetermined number of lines; and a second smoothing unit 120 for applying one-dimensional second smoothing processing based on weighted least squares to the first-smoothing-processed input image in a second direction, which is different from the first direction, per a predetermined block.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: A video encoding device includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of an encoded image block contained in the image block having the predetermined area. A video decoding device includes decoding control means for controlling an inter-PU partition type of a CU to be decoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of a decoded image block contained in the image block having the predetermined area.

Abstract: A video encoding device for encoding video using inter prediction includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on a minimum inter-PU size (PA) and a CU size (PB) of the CU to be encoded. A video decoding device includes decoding control means for controlling an inter-PU partition of a CU to be decoded, based on the minimum inter-PU size (PA) and the size (PB) of the CU to be decoded.

Abstract: A video decoding device and method, including extracting PCM block size information including a threshold, from a bitstream, determining the threshold based on the extracted PCM block size information; parsing a PCM header from the bitstream with respect to an encoded block, only when said encoded block is prediction mode of intra prediction and a block size of said encoded block is equal to or greater than the determined threshold, controlling an entropy decoding process and a PCM decoding process based on the parsed PCM header; parsing transformed data of a prediction error data of an image in the bitstream; and PCM-decoding PCM data of the image in the bitstream, wherein the decoding performs the decoding operation based on the prediction mode being intra prediction and based on the block size of the encoded block being equal to or greater than the determined threshold.

Abstract: The present invention suppresses noise that is possibly generated due to threshold processing during frequency conversion. The image processing device 100 includes: a threshold processing unit 110 for executing threshold processing, by using a first parameter for conversion coefficients of respective frequency components that are obtained by frequency conversion of a block consisting of multiple pixels; a calculation unit 120 for calculating feature quantities of the constituent multiple pixels of the block; a determination unit 130 for determining a second parameter on the basis of the calculated feature quantities; and a correction unit 140 for correcting, by using the determined second parameter, the threshold-processed conversion coefficients of the respective frequency components.

Abstract: The purpose of the present invention is to reduce required calculation resources for image smoothing based on weighted least squares. The image processing device 100 includes: a first smoothing unit 110 for applying one-dimensional first smoothing processing based on weighted least squares to an input image in a first direction per a predetermined number of lines; and a second smoothing unit 120 for applying one-dimensional second smoothing processing based on weighted least squares to the first-smoothing-processed input image in a second direction, which is different from the first direction, per a predetermined block.

Abstract: In a video decoding device, a quantization step size decoding unit calculates a quantization step size that controls a granularity of the inverse quantization by, based on an image prediction, selectively using a mean value of at least a quantization step size assigned to a leftwardly adjacent neighboring image block already decoded and a quantization step size assigned to a upwardly adjacent neighboring image block already decoded or a quantization step size assigned to an image block decoded immediately before.

Abstract: A video encoding device includes: transform means 11 for transforming an image block; entropy encoding means 12 for entropy-encoding transformed data of the image block transformed by the transform means 11; PCM encoding means 13 for PCM-encoding the image block; multiplex data selection means 14 for selecting output data of the entropy encoding means 12 or the PCM encoding means 13, in a block of a block size set from the outside; and multiplexing means 15 for embedding a PCM header in a bitstream, in the block of the set from the outside block size.

Abstract: A radar image processing device includes: an estimation unit 1 for setting, as a target pixel, each pixel of a two-dimensional map image, and estimating to which type each target pixel belongs among a pixel caused by the main lobe, a pixel due to the sidelobe, and any other pixel; a pixel value replacement unit 2 for replacing the pixel value of the pixel caused by the main lobe and the pixel value of the pixel due to the sidelobe with pixel values generated in pixel value interpolation processing based on the type of each pixel estimated by the estimation unit 1 to generate a first corrected image; a speckle noise suppression unit 3 for applying speckle noise suppression processing to the first corrected image to generate a second corrected image; and an output image generation unit 4 for generating an output image, in which speckle noise and sidelobes are suppressed, by using the two-dimensional map image, the second corrected image, and the type of each pixel.

Abstract: Provided is a pattern generation device for generating a sampling pattern that could make it possible to improve the efficiency of image processing, including the processing of sampled blocks. A pattern generation device as in one embodiment of the present invention is provided with: a main generating means for generating a sampling pattern which is a pattern of positions of sampling points in an image, the sampling points indicating blocks to be used in image processing of the respective blocks, and the sampling pattern generated so that the numbers of sampling points in a plurality of rows in the sampling pattern are each equal to a reference value; and an output control means for performing a control for outputting a main sampling pattern, which is the sampling pattern generated by the main generating means.

Abstract: The present invention provides an image processing method, an image processing device, and an image processing program which require low computing costs and with which it is possible to minimize noise amplification and halo generation caused by HDR. An image processing device according to one embodiment of the present invention has: a multi-resolution image generation means for generating a multi-resolution image; a correction amount calculation means for calculating a brightness correction amount on the basis of a lowest-resolution image of the multi-resolution image, a differential image between adjacent resolutions of the multi-resolution image, and edge information calculated at each resolution of the multi-resolution image; and a noise suppression means for calculating, on the basis of the lowest-resolution image, the differential image between adjacent resolutions, the edge information, and the brightness correction amount, an image after brightness correction in which a noise component is suppressed.

Abstract: An image processing apparatus 10 includes a first generation unit 11 which generates a plurality of lower-resolution images having different row-direction resolutions by changing a resolution in a row direction of an image to be processed to a plurality of lower resolutions, a second generation unit 12 which generates a differential image by taking a difference between two of the plurality of lower-resolution images, and a computation unit 13 which computes a correction amount for the pixel values of a predetermined column of the image to be processed by use of a statistical quantity of the pixel values of a predetermined column of the differential image.