The disclosure relates to a method for compressing in a packed data set a color image comprising color image samples arranged in a reference grid according to a sampling pattern, and comprising the steps of (a) performing a decorrelative transform providing component images, (b) performing a number of discrete wavelet decompositions on said component images and (c) forming packets in the packed data set by processing each consecutive line in the reference grid and each component and grouping all samples of said component in said line in one or more packets, and appending said one or more packets to the packed data set. The disclosure also relates to a device for compressing, a computer program for compressing, a method for decompressing, a device for decompressing, and a computer program for decompressing. The disclosure also relates to the packed data set produced by said method for compressing.

Different implementations are described, particularly implementations for video encoding and decoding are presented including a method for deblocking an image. According to an implementation, in a method for deblocking an image, at least one boundary is determined between a first block of samples and a second block of samples; a boundary strength is determined according to at least one of a prediction mode of the first block and a prediction mode of the second block; and samples of the first and second blocks neighboring the at least one boundary are filtered according to the boundary strength. Advantageously, in case the prediction mode of the first block is a weighted prediction mode, the boundary strength further depends on the relative weight of samples used in predicting the first block of samples according to the weighted prediction mode of the first block and reciprocally for the second block.

Different implementations are described, particularly implementations for video encoding and decoding are presented including a method for deblocking an image. According to an implementation, in a method for deblocking an image, at least one boundary is determined between a first block of samples and a second block of samples; a boundary strength is determined according to at least one of a prediction mode of the first block and a prediction mode of the second block; and samples of the first and second blocks neighboring the at least one boundary are filtered according to the boundary strength. Advantageously, in case the prediction mode of the first block is a weighted prediction mode, the boundary strength further depends on the relative weight of samples used in predicting the first block of samples according to the weighted prediction mode of the first block and reciprocally for the second block.

A method for video bitstream processing includes determining, by a processor, that a reconstructed representation of a current sample of video data is to be subject to a bilateral filter defined by one or more parameters based, at least in part, on a weighted sum of sample intensity differences (S.sub.Diff values) between a first window covering the current sample and a second window covering neighboring samples, wherein multiple sample intensity differences are assigned a same parameter from the one or more parameters; and applying the bilateral filter defined by the one or more parameters to the reconstructed representation of the current sample of the video data.

A method for video bitstream processing includes determining, by a processor, that a reconstructed representation of a current sample of video data is to be subject to a bilateral filter defined by one or more parameters based, at least in part, on a weighted sum of sample intensity differences (S.sub.Diff values) between a first window covering the current sample and a second window covering neighboring samples, wherein multiple sample intensity differences are assigned a same parameter from the one or more parameters; and applying the bilateral filter defined by the one or more parameters to the reconstructed representation of the current sample of the video data.

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.

Provided is an image decoding method including: generating an intra prediction value of a current sample based on a position of the current sample in a current block and an intra prediction mode of the current block; determining a sample value of at least one filtering reference sample to be filtered and a first weight with respect to the filtering reference sample and a second weight with respect to the intra prediction value of the current sample; generating a filtered prediction sample value of the current sample based on the determined sample value of the filtering reference sample to be filtered, the intra prediction value of the current sample, the first weight with respect to the filtering reference sample, and the second weight with respect to the intra prediction value of the current sample; and generating a prediction block of the current block including the filtered prediction sample value.

Provided is an image decoding method including: generating an intra prediction value of a current sample based on a position of the current sample in a current block and an intra prediction mode of the current block; determining a sample value of at least one filtering reference sample to be filtered and a first weight with respect to the filtering reference sample and a second weight with respect to the intra prediction value of the current sample; generating a filtered prediction sample value of the current sample based on the determined sample value of the filtering reference sample to be filtered, the intra prediction value of the current sample, the first weight with respect to the filtering reference sample, and the second weight with respect to the intra prediction value of the current sample; and generating a prediction block of the current block including the filtered prediction sample value.

A video processing method includes performing a conversion between a video and a bitstream of the video. The bitstream conforms to a format rule specifying a condition that controls whether or how one or more syntax elements related to picture order counts for a long term reference picture are included in a reference picture list syntax structure in the bitstream.