Multiple-description video coding method based on human visual system

Abstract

The invention provides a multiple-description video coding method based on a human visual system. The multiple-description video coding method includes the steps that firstly a video sequence is read in, odd-even frames of the video sequence are separated to obtain a main information odd frame sub-sequence X1 and a main information even frame sub-sequence X2; secondly, a rebuilt even frame sequence and a rebuilt odd frame sequence are obtained respectively according to a JND error forecasting mechanism, and redundant information Y2 of a path of odd frames and redundant information Y1 of a path of even frames are obtained after the even frame sequence and the odd frame sequence are processed by an encoding mode selection module; thirdly the main information X1, the main information X2, the redundant information Y1 and the redundant information Y2 are encoded respectively through a standard encoder and a redundant information encoder; fourthly, after encoding, the X1 and X2 form a description 1, the X2 and Y1 form a description 2, and the description 1 and description 2 are transmitted to an encoding end to be encoded through different channels.

Description

technical field [0001] The invention relates to the technical field of digital video processing, in particular to a multi-description video coding method based on the human visual system. Background technique [0002] In recent years, with the explosive development of the Internet, video transmission has become more and more widely used. However, network congestion, random bit errors and packet loss will lead to severe degradation of video compressed data quality, which brings great challenges to video transmission. Therefore, it is necessary to develop a video codec scheme that not only has high compression efficiency but also ensures the robustness of video transmission. [0003] As a technology that can improve the robustness of transmission over error-prone channels, multiple description coding has attracted more and more scholars to study. It can be assumed that there are many channels between the source and the sink, and it is impossible for all channels to make erro...

AI Technical Summary

Problems solved by technology

According to the principle of multi-description sampling, some literatures have proposed an image multi-description coding method based on interleaved extraction and block compression sensing strategy, but the compression efficiency is not very high

Some literatures have proposed a wavelet coded image transmission method suitable for packet loss channels, which uses layered multi-description coding to improve the error tolerance of source codes, but it depends on the structure of source codes

There are also methods proposed in the literature only for specific images

The above methods have achieved good results, but they have not considered the characteristics of the human visual system, ignoring that the final recipient of both images and videos is the human visual system.

Images