Backward block adaptive Golomb-Rice coding and decoding method and apparatus thereof

Abstract

The invention provides a backward block adaptive Golomb-Rice coding and decoding method. The method comprises the following steps: realizing backward adaptive Golomb-Rice coding by utilizing an adaptive update rule; updating an adaptive parameter by utilizing a sliding window method; carrying out block updating on a Golomb-Rice parameter m value, according to a data characteristic, freely selecting a block size, and raising an updating speed of the Golomb-Rice parameter m value; carrying out adaptive m value correction on the characteristic data to realize lossless audio frequency coding and decoding. The coding and decoding method of the present invention has the characteristics of low operation complexity and small storage space occupation, compression of an integer is realized, and especially a high compression ratio and a high coding and decoding speed of data with a geometric distribution characteristic are realized. The method is easily applied to the digital audio/video field and is suitable for realization with a modern processor, and processor cost of a user is substantially reduced.

Description

technical field [0001] The invention relates to digital audio source codec technology for digital signal processing, in particular to a method and device for backward block adaptive Golomb-Rice codec. Background technique [0002] With the development of computer science and technology, digital storage technology is also constantly developing, the density of storage media is getting higher and higher, the storage capacity is getting larger and larger, and the size of multimedia data is also increasing (for example: high-definition digital video, 3D video, High-quality digital audio, high-definition digital images, etc.), so it is still essential for data compression, and requires compression and decompression with low algorithm complexity. How to use an effective method to represent the original data into fewer bits, while maintaining a low algorithm complexity in the process of compression and decompression is one of the current research hotspots in the field of data compre...

AI Technical Summary

Problems solved by technology

Although the backward adaptive method can solve some problems in the forward adaptive model, the backward adaptive method also has some unique deficiencies: the first problem: the backward adaptive method reduces the The pre-statistical overhead and parameter transfer overhead at the encoding end, when the decoding end updates the GolomB

Images