A method for processing point cloud data according to embodiments may encode and transmit point cloud data. The method for processing point cloud data according to embodiments may receive and decode point cloud data.

A method for processing point cloud data according to embodiments may encode and transmit point cloud data. The method for processing point cloud data according to embodiments may receive and decode point cloud data.

An image decoding method performed by a decoding apparatus, according to the present document, comprises the steps of: acquiring image information including decoded picture buffer (DPB) parameter information for output layer sets (OLSs) and an OLS DPB parameter index for a target OLS; and deriving DPB parameter information for the target OLS from among the DPB parameter information for the OLSs on the basis of the OLS DPB parameter index.

A method by which a decoding device decodes an image, according to the present document, comprises the steps of: acquiring image information including decoded picture buffer (DPB) parameter information and an output layer set (OLS) DPB parameter index for a target OLS; deriving the DPB parameter information about the target OLS on the basis of the OLS DPB parameter index; updating a DPB on the basis of the DPB parameter information about the target OLS; and decoding the current picture on the basis of the updated DPB.

A method for decoding an image based on a base layer and enhancement information includes decoding the base layer in order to obtain at least one base component, oversampling the at least one base component in order to obtain at least one oversampled component, decoding the enhancement information by a part at least of artificial neural network in order to obtain enhancement values, and reconstructing the image based on the at least one oversampled component and the enhancement values. An associated encoding method, electronic decoding device, and electronic encoding device are provided.

A method for decoding an image based on a base layer and enhancement information includes decoding the base layer in order to obtain at least one base component, oversampling the at least one base component in order to obtain at least one oversampled component, decoding the enhancement information by a part at least of artificial neural network in order to obtain enhancement values, and reconstructing the image based on the at least one oversampled component and the enhancement values. An associated encoding method, electronic decoding device, and electronic encoding device are provided.

Aspects of the disclosure provide a method, an apparatus, and non-transitory computer-readable storage medium for video decoding. The apparatus includes processing circuitry. The processing circuitry can decode, from a bitstream, pictures associated with views of respective layers in a coded video sequence (CVS). The processing circuitry is configured to determine, based on a first supplemental enhancement information (SEI) message and a second SEI message, positions of the views to be displayed in one dimension. The first SEI message includes scalability dimension information (SDI) and the second SEI message includes multiview view position (MVP) information. The processing circuitry is configured to display the decoded pictures based on the positions of the views in the one dimension.

Overlapped block disparity estimation and compensation is described. Compensating for images with overlapped block disparity compensation (OBDC) involves determining if OBDC is enabled in a video bit stream, and determining if OBDC is enabled for one or more macroblocks that neighbor a first macroblock within the video bit stream. The neighboring macroblocks may be transform coded. If OBDC is enabled in the video bit stream and for the one or more neighboring macroblocks, predictions may be made for a region of the first macroblock that has an edge adjacent with the neighboring macroblocks. OBDC can be causally applied. Disparity compensation parameters or modes may be shared amongst views or layers. A variety of predictions may be used with causally-applied OBDC.

Overlapped block disparity estimation and compensation is described. Compensating for images with overlapped block disparity compensation (OBDC) involves determining if OBDC is enabled in a video bit stream, and determining if OBDC is enabled for one or more macroblocks that neighbor a first macroblock within the video bit stream. The neighboring macroblocks may be transform coded. If OBDC is enabled in the video bit stream and for the one or more neighboring macroblocks, predictions may be made for a region of the first macroblock that has an edge adjacent with the neighboring macroblocks. OBDC can be causally applied. Disparity compensation parameters or modes may be shared amongst views or layers. A variety of predictions may be used with causally-applied OBDC.

An image processing device and method that enable suppression of an increase in the amount of coding of a scaling list. The image processing device sets a coefficient located at the beginning of a quantization matrix by adding a replacement difference coefficient that is a difference between a replacement coefficient used to replace a coefficient located at the beginning of the quantization matrix and the coefficient located at the beginning of the quantization matrix to the coefficient located at the beginning of the quantization matrix; up-converts the set quantization matrix; and dequantizes quantized data using an up-converted quantization matrix in which a coefficient located at the beginning of the up-converted quantization matrix has been replaced with the replacement coefficient. The device and method can be applied to an image processing device.