US 12,764,283 B2 · Filtering method, filtering model training method, and related apparatus

Abstract

This application discloses a filtering method, a filtering model training method, and a related apparatus, and belongs to the field of coding technologies. The method includes: determining K groups of filtering models based on a quantization parameter of a target image, determining a reconstructed block corresponding to a current coding block in the target image, determining a target filtering model from the K groups of filtering models, and filtering the reconstructed block based on the target filtering model. A same group of filtering models is applicable to coding blocks with same coding quality, different groups of filtering models are applicable to coding blocks with different coding quality, and different filtering models in a same group of filtering models are applicable to coding blocks with different content.

Claims19

Dependent claims

A filtering method for an encoder, comprising:

determining K groups of filtering models based on a quantization parameter of a target image, wherein each group of the K groups of filtering models comprises M filtering models, a same group of filtering models corresponds to a same quantization parameter, different groups of filtering models correspond to different quantization parameters, and K and M are integers greater than 1;
determining a reconstructed block corresponding to a current coding block in the target image;
determining a target filtering model from the K groups of filtering models;
and
filtering the reconstructed block based on the target filtering model;
wherein the target filtering model is a filtering model corresponding to a smallest encoding distortion existing after the reconstructed block is filtered, and the reconstructed block is filtered based on the target filtering model being less than an encoding distortion of the reconstructed block.

3 more elements

A filtering apparatus for a decoder, comprising:

one or more processors;
and
a memory coupled to the one or more processors to store instructions, which when executed by the one or more processors, cause the filtering apparatus to:
determine K groups of filtering models, wherein each group of the K groups of filtering models comprises M filtering models, a same group of filtering models corresponds to a same quantization parameter, different groups of filtering models correspond to different quantization parameters, and K and M are integers greater than 1;
determine a reconstructed block based on a bitstream;
determine a target filtering model from the K groups of filtering models;
and
filter the reconstructed block based on the target filtering model.

5 more elements

Dependencies are inferred from the claim text.

Filtering method, filtering model training method, and related apparatus

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Filtering method, filtering model training method, and related apparatus

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Abstract

Claims19