Abstract: An image decoding device includes: a prediction signal generation unit that generates a prediction signal by intra prediction, wherein in a block to which intra sub-partitions are applied, the prediction signal generation unit refers to a pixel of a decoded block adjacent to the block when generating prediction signals of all sub-blocks in the block.

Abstract: An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Abstract: An image decoding device, includes a filter unit using, as an input, a decoded signal prior to the filtering process and output a filtered decoded signal. The filter unit performs clipping processing on the decoded signal prior to the filtering process such that the absolute value of a differential value between a reference pixel value and a pixel value of the decoded signal prior to the filtering process is less than or equal to a predefined threshold value, and to generate the filtered decoded signal through the linear weighted addition of the value after the clipping processing is performed and the pixel value of the decoded signal prior to the filtering process; and a large-small relationship between the threshold value for a luma signal and the threshold value for a chroma signal are defined such that the large-small relationship is unchanged when an internal bit depth is changed.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains chrominance prediction signal applying the linear prediction model based on the linear prediction parameter to the luminance reference signal.

Abstract: An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains chrominance prediction signal applying the linear prediction model based on the linear prediction parameter to the luminance reference signal.

Abstract: An image decoding device 200 includes: a local addition unit 104a that adds level values of decoded residual coefficients existing around a residual coefficient to be decoded and derives a sum total value of level; a transform unit 104b that transforms the sum total value of level into an amount of shift and an index; a table reference unit 104c that refers to a predefined table and outputs a pre-correction Rice parameter corresponding to the index; and a correction unit 104d that derives a post-correction Rice parameter on the basis of the pre-correction Rice parameter and the amount of shift.

Abstract: A point cloud decoding device 200 according to the present invention includes: an approximate-surface synthesizing unit 2030 configured to use presence of coordinates of each vertex only on an edge of a rectangle projected onto a plane, and give an index to each of the vertces on a basis of a coordinate value of each of the vertices, wherein the approximate-surface synthesizing unit 2030 sets a starting point on the edge of the rectangle prolected onto the plane, and gives the index to each of the vertices clockwise or counterclockwise from the starting point.

Abstract: Provided is a moving image processing apparatus. A moving image processing apparatus includes: a detection unit configured to detect a boundary of blocks; a determination unit configured to determine a strength of the boundary detected by the detection unit; and a deciding unit configured to decide whether or not a filter is to be applied to the boundary based on the strength of the boundary determined by the determination unit. The determination unit is further configured to use a size of a transformation block to determine the strength of the boundary.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains chrominance prediction signal by applying linear prediction model based on the linear prediction parameter to the luminance reference signal.

Abstract: A point cloud decoding device 200 according to the present invention including: an attribute-information decoding unit 2060 that determines whether or not a chroma signal is included in a bit stream, and avoids decoding for syntax regarding the chroma signal in a case where the chroma signal is determined not to be included in the bit stream.

Abstract: An image decoding device includes: a motion vector decoding unit that decodes a motion vector from encoded data; a refinement unit that performs refinement processing to correct the decoded motion vector; and a predictive signal generation unit that generates a predictive signal on the basis of the corrected motion vector outputted from the refinement unit. The predictive signal generation unit determines whether or not to apply BDOF processing for each block, on the basis of information calculated in the course of the refinement processing.

Abstract: A point cloud decoding device according to the present invention including: a geometry information decoding unit that decodes syntax used to indicate the number of layers of a tree in decoding an Octree, wherein the syntax decoded by the geometry information decoding unit has a value equal to or less than a value obtained by adding a predetermined natural number to a maximum node size per slice or per data unit.

Abstract: A point cloud decoding device according to the present invention 200 includes: a geometry information decoding unit 2010 that decodes a first flag used to indicate whether or not to carry out inverse quantization of position information from a bit stream; and a tree synthesizing unit 2020 that sets a value of NodeQp to zero in a case where the first flag indicates that the inverse quantization of the position information is not carried out, the NodeQp being used as a quantization parameter for each node.

Abstract: A point cloud decoding device 200 according to the present invention includes: a geometry information decoding unit 2010 that decodes a first flag used to indicate whether or not to use a planar mode from a bit stream and recognizes the first flag as having an identical value to a case of failing to use the planar mode in a case of non-inclusion of the first flag in the bit stream.

Abstract: An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Abstract: An image decoding device (200) includes: an inverse transform unit (220B/220C) configured to generate a prediction residual signal by inverse transform, the inverse transform unit (220B/220C) is configured to control a method of decoding a secondary transform index of a target block according to information indicating a position where a non-zero coefficient is generated in the target block.

Abstract: A point-cloud decoding device according to the present invention includes: a tree synthesizing unit configured to generate Mask_planar corresponding to eight child nodes of a node, wherein in a case where the node is subjected to quadtree division or binary tree division, the tree synthesizing unit (2020) is configured to set, as “0”, a value of the Mask_planar corresponding to a child node belonging to a plane closer to an origin in an axial direction in which no division is made, and set, as “1”, a value of the Mask_planar corresponding to a child node belonging to a plane further away from the origin in the axial direction in which no division is made.

Abstract: A point cloud decoding device includes: a geometry information decoding unit configured to decode numbers of points of respective layers of an octree structure.

Abstract: A point-cloud decoding device according to the present invention includes: a tree synthesizing unit configured to decode position information on each point of point-cloud data as a decoding target, and give, in ascending order in order of decoding of the position information, an index to each point of the point-cloud data.