Coding/decoding methods, coders/decoders, and method and device for finding optimally matched modules

Abstract

The invention discloses two coding methods. One coding method comprises the steps of: performing a first prediction of a current image to be coded to obtain a first residual image and a first motion vector; and performing a second prediction to the first residual image to obtain a second residual image and a second motion vector and writing the second residual image, the second motion vector and the first motion vector into a compression code flow or into compression code flow after entropy coding. The invention also discloses two decoding methods, two coders, two decoders, a coding method, acoder-decoder, a method and a device for finding optimally matched modules from a plurality of multilook images. The technical proposal of the invention can eliminate the relevance of residual images.

Description

Coding / decoding method, coder / decoder and method and device for finding the best matching block technical field The present invention relates to image coding technology in the field of multimedia, in particular to an image coding method, a decoding method, a coder, a decoder, a codec method, a codec, and a method and device for finding the best matching block among multi-view images. Background of the invention Current video coding standards such as H.261, H.263, H.263+, and H.264 standards formulated by the International Telecommunication Union (ITU, International Telecommunication Union), and MPEG-1, MPEG-2, MPEG-3, MPEG-4, etc. are all based on the hybrid coding (HybridCoding) framework. The so-called hybrid coding framework is a video image coding method that mixes time and space. When coding, first perform intra-frame and inter-frame prediction to obtain the predicted value to eliminate the correlation in the time domain; then according to the predicted value and the ...

AI Technical Summary

Problems solved by technology

In fact, in the field of multi-view video, there is still a strong correlation between the residual image generated after one prediction of the current image to be encoded and the residual image corresponding to the reference image. When the images of a video sequence are encoded, the correlation between the residual images cannot be eliminated, so the encoding efficiency cannot be better improved.

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