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Fractal-based video compression and decompression method

A video compression and fractal technology, applied to digital video signal modification, television, electrical components, etc., can solve the problems of difficult compression time and image quality, large amount of calculation, slow encoding speed, etc.

Inactive Publication Date: 2012-10-03
BEIHANG UNIV
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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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[0043] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings. Only the brightness component Y is taken as an example, and the compression steps of the color difference components U and V are the same as the brightness components.

[0044] The present invention proposes a fractal-based video compression and decompression method. The compression method is a novel video compression coding method that utilizes the fractal iterative principle for video coding. First, block DCT transform coding is used for the initial frame, and non-I frames are encoded. For block motion estimation / compensation coding, first calculate the pixel sum and pixel square sum of sub-blocks related to the sub-block domain and the parent block domain, then use the full search method to find the most similar matching block in the search window of the previous frame, and finally use The Huffman coding method compresses the coefficients of the...

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Abstract

The invention provides a fractal-based video compression and decompression method. The compression method is a novel video compression and encoding method which adopts the fractal iteration principle for video encoding, and comprises the following steps: encoding a starting frame through block-DCT transformation, and carrying out block motion estimation / compensation coding for a non-I frame, which comprises calculating the sum and sum of squares of the pixels of sub-blocks related to sub-block domains and parent-block domains, finding a most similar matching block in a previous frame search window through full search, and finally compressing factors of an iteration function system through Huffman encoding. The corresponding decompression method comprises the following steps: decoding the I frame through anti-DCT transformation, carrying out Huffman decoding for the non-I frame to obtain the factors of the iteration function system, and carrying out macroblock-based decoding, which comprises calculating the sum and sum of squares of the pixels of the sub-blocks relevant to the parent-block domains, and decoding the macroblocks in the current frame in sequence. The method improves the traditional method of fractal video compression, and not only greatly increases the compression ratio and the peak signal-noise ratio, but also improves the encoding speed, thereby enhancing the fractal video compression and decoding performance, and making the fractal video compression and decoding more practical.

Description

technical field [0001] The invention belongs to the field of video compression coding in signal processing, and especially proposes a new fractal video compression coding method for the field of new-generation video coding. On the premise of ensuring image quality, the speed and compression ratio of fractal video coding are greatly accelerated. Background technique [0002] The fractal theory was first proposed by Mandelbrot in the 1970s (see B. Mandelbrot. The Fractal Geometry of Nature [M]. New York: W.H. Freeman and Company, 1982.). The mathematical basis of fractal coding is the iterative function system (IFS) theory. Barnsley first used fractal coding for interactive image compression (see Michael F. Barnsley, Alan D. Sloan. A better way to compress image [J]. Byte Magazine, 1988, 13(1): 215-233.). Jacqain proposed a fully automatic fractal image compression method (see Arnaud E. Jacquin. A novel fractal blocking-coding technique for digital image [C]. IEEE Internati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/26H04N7/30H04N19/176H04N19/36H04N19/51H04N19/57H04N19/625
Inventor 祝世平候仰拴王再阔
Owner BEIHANG UNIV
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