Intra-frame prediction video coding method based on image inpainting and vector prediction operators

Abstract

The invention relates to an intra-frame prediction video coding method based on image inpainting and vector prediction operators. The method is technically characterized by comprising the following steps of: (1) calculating the rate distortion cost value RD1 of a current block based on a traditional intra-frame prediction mode in high efficiency video coding (HEVC); (2) calculating the rate distortion cost value RD2 of the current block based on an intra-frame prediction mode of a Laplace equation image inpainting method, and if the RD2 is smaller than the RD1, calculating the rate distortion cost value RD2 of the current block based on an intra-frame prediction mode of a total variation model image inpainting method; (3) calculating the rate distortion cost value RD3 of the current block based on an intra-frame prediction mode of the vector prediction operators; and (4) calculating the prediction pixel value of the current block according to the comparison result of the RD1, the RD2 and the RD3 by an encoder end, and predicting, compressing and coding the current block. The method is reasonable in design; the prediction accuracy of the conventional intra-frame prediction mode based on image inpainting is improved; and the coding rate can be reduced under the condition that the quality of the coded and decoded video is almost not changed, so that the compression efficiency of video coding is improved.

Description

technical field [0001] The invention relates to the technical field of video compression, in particular to an intra-frame predictive video encoding method based on image restoration and vector prediction operators. Background technique [0002] In real video sequences, spatial correlation is an important source of data redundancy. In terms of removing spatial redundancy, intra prediction is a simple, effective and reliable method both in theory and in practice. Therefore, intra prediction has always been a hotspot in the research of video coding technology, and it is of great significance for reducing the spatial redundancy in video compressed data. [0003] An important improvement of H.264 compared to previous coding standards is the introduction of intra-frame prediction mode, which enables it to take advantage of the spatial correlation of video to further improve compression efficiency. Each pixel in the current block to be predicted can be predicted by the weighted s...

AI Technical Summary

Problems solved by technology

However, the above-mentioned intra-frame prediction based on image inpainting has the following two problems: 1. The commonly used intra-frame prediction based on Laplace partial differential equation image inpainting cannot effectively deal with non-flat areas in the image, especially those containing edges. 2. The intra-frame prediction based on texture synthesis image restoration can effectively use the non-local correlation of intra-frame prediction. However, template matching requires a lot of calculations, which increases the computational complexity of encoding and decoding. influences

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