Multi-band wavelet transformation method for image and video compression coding and decoding and applications

Abstract

The invention provides a multi-band wavelet transformation method for image and video compression coding and decoding. The method comprises: performing forward or reverse conversion of image compression or decompression by adopting r-band discrete biorthonormal wavelets with decimal notation r more than or equal to 16. The multi-band wavelet transformation method can be applied to computer software, digital signal processor (DSP) software, application specific integrated circuit (ASIC) chips or field programmable gate array (FPGA) chips. The invention provides the novel multi-band wavelet transformation method, which has the advantage that a wavelet conversion image does not have blocking effect, avoids complex iterative algorithm of wavelet transformation, and the multi-band wavelet can be transformed into product of wavelet transformation and blocking transformation to organically associate the wavelet transformation and blocking transformation, so that seamless downward compatibility of the novel and existing technologies can be realized, namely the existing technology is a standard subset of the novel technology, and the novel technology can successfully decode images or videos coded by the existing technology and contributes to realization of parallel calculation.

Description

【Technical field】 [0001] The invention relates to the field of information technology, in particular to a method for digital image and digital video compression coding transformation. 【Background technique】 [0002] With the rapid development of computer, microelectronics, signal processing, communication and laser technology, multimedia technology integrating sound, image and video has rapidly penetrated into the computer, communication, radio and television and consumer entertainment industries. In the above fields, There is an increasing use of digital equipment transmitted via digital signals. [0003] Digital signals have many advantages, but when the analog signal is digitized, its frequency band will be greatly widened. For example, after a 6MHz ordinary TV signal is digitized, its digital rate will be as high as 167Mbps, which requires a lot of storage capacity and transmission bandwidth. Digital signals lose their practical value. Digital compression technology so...

AI Technical Summary

Problems solved by technology

[0008] In the existing technical standards, although the compression coding efficiency of the new technology has been improved, the compatibility of the old and new technologies is a big problem.

For example, JPEG2000 cannot be compatible with JPEG at all, and MPEG-4 cannot be compatible with MPEG-2 at all, which greatly limits the industrialization of new technologies

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