Multi-view stereoscopic video compression and decompression method based on fractal and H.264

Abstract

The invention provides a multi-view stereoscopic video compression and decompression method based on fractal and H.264. A middle view is used as a base layer and encoded on the principle of a motion compensated prediction (MCP) method in a compression mode, and other views are encoded on the principle of MCP + digitally controlled potentiometers (DCP) in a compression mode. Three views are taken for example, intra prediction coding of the H.264 is adopted by an I frame of the middle view, a rebuilt frame (as a reference frame) is obtained after filtration, a P frame of the middle view is encoded with block MCP by the utilization of the encoded rebuilt frame as the reference frame, the most matched fractal parameter of the block of each time is recorded, the fractal parameters are respectively substituted in a compression iterative function system to achieve a prediction frame of the P frame, and the rebuilt frame is obtained after filtration. The MCP + DCP is adopted for coding by a left view and a right view and a reference frame can be an encoded front frame of the respective view or an encoded frame of other views. Entropy encoding CALCV is used for compressing a residual frame of each frame and an exponential-Golomb code with symbols is used for compressing the fractal parameter.

Description

Technical field: [0001] The invention belongs to the field of video compression coding, and relates to the compression coding of multi-eye stereoscopic video. On the premise that the peak signal-to-noise ratio (PSNR) remains basically unchanged, it greatly reduces the computational complexity and improves the compression ratio, and provides multi-eye stereoscopic video coding. It lays the foundation for the real-time application of fractal video and further improves the performance of fractal video compression coding. Background technique: [0002] Compared with previous video coding standards, H.264 has better compression performance and "friendliness" for network transmission. The excellent compression performance of H.264 is due to the accumulation of the effects of various new technologies (see Wiegand T Sullivan, GJ Bjontegard G, et al.Overview of the H.264 / AVC video coding standard[J].IEEE Transaction on Circuits and Systems Video Technology, 2003,13(7):560-576.), (se...

AI Technical Summary

Problems solved by technology

However, in the cyclic predictive coding (CPM) method, in order to ensure that the initial frame can approximately converge to the original image after its own cyclic decoding, the compression process needs to go through complex transformations, searches, and iterations, etc., and the compression time and image quality are difficult to meet the requirements.

At present, the typical fractal image and video compression method has a large amount of calculation, the encoding speed is slow, and the quality of decoding needs to be improved, so the fractal image and video compression method needs further improvement and improvement

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