Video compression and decompression method based on fractal and H.264

Abstract

The invention provides a video compression and decompression method based on fractal and H.264. Intra prediction of coding based on the H.264 is adopted for an I frame to obtain a prediction frame. A block motion estimation or complementary coding which are based on fractal is used for obtaining a prediction frame of a P frame. Difference between each initial frame and each corresponding prediction frame is a residual frame. After the residual frames are transformed through discrete cosine transformation (DCT) and are quantified, on one hand, the residual frames are written in a code rate, on the other hand, the residual frames are inversely quantified and reversely transformed though the DCT and then plus the prediction frames to get rebuilt frames (as reference frames). Fractal parameter is generated when the P frame is encoded in a predictive mode, the residual frames of the I frame and the P frame are compressed by the utilization entropy encoding CALCV, and the fractal parameter is compressed by utilization of an exponential-Golomb code with symbols, and a corresponding decompression process is that a prediction frame is obtained from an intra prediction of the I frame, and a prediction frame is obtained by a prediction of a frame in front of the P frame. Residual information in the code rate is reversely quantified and reversely transformed through the DCT to respectively obtain the residual frames of the I frame and the P frame.

Description

Technical field: [0001] The invention belongs to the field of video compression coding in signal processing, and especially proposes a fast fractal video compression coding method for the field of new generation video coding, which greatly accelerates the speed and compression ratio of fractal video coding on the premise of ensuring image quality. Background technique: [0002] The video coding standard 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, G J 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.), including 4×4 integer transformation, multiple macroblock segmentation modes, multiple reference frames and 1 / 4 pixel precision motion compensation, etc. The application of new technology makes it ...

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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