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

Abstract

The present invention provides a multi-bank wavelet transform method for image and video compression coding and decoding. The r-bank discrete biothonormal wavelet with the bank number r greater than or equal to 16 is applied to perform forward or inverse transform on image compression or decompression. Above-mentioned multi-bank wavelet transform method can be applied to computer software, DSP software, ASIC chip or FPGA chip. The present invention provides a new multi-bank wavelet transform method. It has the advantages that images haven't blocking effect after wavelet transform, and avoids complicated iterative calculation in wavelet transform. And such multi-bank wavelet transform can be translated into the product of wavelet transform and block transform. Wavelet transform and block transform are integrated dynamically,thus enabling seamless downward compatibility of new and old technology, that is, the old technology is a standard subset of the new one. The images or videos coded with the old technology can be decoded smoothly using the new technology, which is favorable to 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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