A filtering method by a decoding device according to the present invention comprises the steps of: receiving information relating to ALF control depth; deciding an ALF control unit on the basis of information relating to the division depth and the ALF control depth of a current block in a restoration picture with respect to a current picture; determining whether or not ALF is applied to the current block in an ALF control unit level; and, if the ALF is determined to be applied to the current block, performing the ALF for the current block. In the filtering method, the current picture is recursively divided on the basis of a QTBT structure, and the current block is one of blocks divided on the basis of the QTBT structure.

The invention relates to methods, devices, systems and computer program products where input image data is received for processing in a computer system, a first transform is carried out to the input image data, the transform being done in a first direction with respect to the input image data, to obtain first transformed image data, a transposing operation is carried out to the first transformed image data to obtain first transposed image data, and a second transform is carried out to the first transposed image data, the second transform being done in a second direction with respect to the input image data, to obtain second transformed image data. The first transform and the second transform may be carried out in a processor in a parallel manner, and the transposing operation may be carried out at least partially using registers of the processor.

The invention relates to methods, devices, systems and computer program products where input image data is received for processing in a computer system, a first transform is carried out to the input image data, the transform being done in a first direction with respect to the input image data, to obtain first transformed image data, a transposing operation is carried out to the first transformed image data to obtain first transposed image data, and a second transform is carried out to the first transposed image data, the second transform being done in a second direction with respect to the input image data, to obtain second transformed image data. The first transform and the second transform may be carried out in a processor in a parallel manner, and the transposing operation may be carried out at least partially using registers of the processor.

Methods and apparatuses for applying a deblocking to a coding unit in video pictures. In one aspect, the deblocking is applied to sub-block boundaries in the coding unit and to implicit transform unit boundaries in the coding unit.

A device for encoding/decoding the image according to the present invention includes an intra prediction module configured to: determine an intra prediction mode of a current block; determine a scanning order of multiple sub blocks in the current block on the basis of the determined intra prediction mode; and perform intra prediction of the current block on the basis of the determined scanning order.

A device for encoding/decoding the image according to the present invention includes an intra prediction module configured to: determine an intra prediction mode of a current block; determine a scanning order of multiple sub blocks in the current block on the basis of the determined intra prediction mode; and perform intra prediction of the current block on the basis of the determined scanning order.

Computer processor hardware receives a first set of adjustment values. The first set of adjustment values specify adjustments to be made to a predicted rendition of a signal generated at a first level of quality to reconstruct a rendition of the signal at the first level of quality. The computer processor hardware processes the first set of adjustment values and derives a second set of adjustment values based on the first set of adjustment values and a rendition of the signal at a second level of quality. The second level of quality is lower than the first level of quality.

Aspects of the disclosure provide methods and apparatuses for neural network processing, such as in video processing. In some examples, an apparatus for neural network processing includes processing circuitry. The processing circuitry determines that an input for a convolution operation includes a first input channel that is piecewise constant. Then, the processing circuitry calculates a first intermediate output channel based on other channels of the input for the convolution operation; and then generates an output of the convolution operation based on a combination (e.g., a linear combination) of the first intermediate output channel and the first input channel.

Video encoding methods and apparatuses for Sum of Absolute Transformed Difference (SATD) computation by folded Hadamard transform circuits include splitting a current block into SATD blocks, receiving input data associated with a first block of a first SATD block in a first cycle and receiving input data associated with a second block of the first SATD block in a second cycle, and performing calculations for the first block by shared Hadamard transform circuits in the first cycle and performing calculations for the second block by the shared Hadamard transform circuits in the second cycle. Each shared Hadamard transform circuit is a first part of each folded Hadamard transform circuit. The video encoding methods and apparatuses further perform calculations for the entire SATD block by a final part of each folded Hadamard transform circuit to generate a final SATD result of the first SATD block for encoding.

A system and method of decoding a set of greatest coded line index values for a precinct of video data from a video bitstream, the precinct of video data including one or more subbands. The method comprises decoding a greatest coded line index prediction mode for each subband from the video bitstream; decoding a plurality of greatest coded line index delta values for each subband from the video bitstream using the greatest coded line index prediction mode for the subband; and producing the greatest coded line index values for each subband using the plurality of greatest coded line index delta values and the greatest coded line index prediction mode for the subband.