System and Implementation Method Based on Hierarchical Tree Set Split Coding

Abstract

The invention discloses a coding system based on set partitioning in a hierarchical tree and an implementation method of the coding system. The system comprises a wavelet conversion module (1), a wavelet tree extraction module (2), an importance scanning module (3) and a parallel coding module (4). The method includes the steps of firstly, inputting pixel points; secondly, conducting wavelet conversion; thirdly, extracting wavelet coefficients; fourthly, scanning the importance of the tree; fifthly, conducting paralleling coding; sixthly, outputting a code stream. In the implementation method, nodes in different bit planes share the same position information, importance information of nodes at different layers in the tree is generated through the same unit, parallel coding is conducted on different bit planes, and finally a static image is compressed. The coding system and the method have the advantages that occupied resources are less, storage efficiency is high, and the coding system and the method are particularly suitable for the spaceflight image compression field where resources are limited, space is limited and the requirement for system reliability is extremely high.

Description

technical field [0001] The present invention relates to the technical field of image processing, and further relates to a system and an implementation method based on multilevel tree set splitting coding in the technical field of static image compression. In the encoding process of the static image, the present invention utilizes memory sharing and operation logic module sharing to realize the reduction of hardware resources and the improvement of reliability of static image transmission in the aerospace field. The invention can be used for static image compression coding of various digital devices. Background technique [0002] With the continuous development of modern space technology, the massive growth of remote sensing image data has brought great difficulties to storage and transmission, so effective real-time data compression is particularly urgent and important. Multi-level tree set splitting is a spatial image compression algorithm to meet this requirement, which u...

AI Technical Summary

Problems solved by technology

This method also has shortcomings: the scanning and storage control of each bit plane is carried out independently, and some common control information is not shared, not only the control is complicated but also the storage process is cumbersome; when scanning each bit plane, the D set information and the L set information are scanned with Two different modules are generated, which causes unnecessary waste of logical resources; each bit plane stores important information and occupies an independent first-in-first-out queue. As the number of bit planes increases, the resource usage increases greatly and read-write control is troublesome.

The system and method do not make better use of hardware resources

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