JPEG2000 image compression processing system

Abstract

The invention relates to a compressing and processing system for JPEG2000 images. An image wavelet converting unit decomposes an original image into wavelet coefficient blocks according to JPEG2000 algorithm to be transmitted to a memorizer; a wavelet coefficient reading and controlling unit reads the coefficient blocks from the memorizer according to a preset scanning order to be transmitted to a wavelet coefficient caching unit; a wavelet coefficient coding unit composed of DSP encodes the coefficient blocks; each DSP sends out data-exchanging requests to be transmitted to a priority controlling unit, so as to conduct priority ranking; each DSP reads the corresponding coefficient blocks from the wavelet coefficient caching unit according to a priority order; the wavelet coefficient coding unit transmits the encoded coefficient blocks to a coding coefficient caching unit; a code stream optimizing and intercepting unit reads all the coefficient blocks and a corresponding interception point and a distortion value from the coding coefficient caching unit, then seeks a group of interception points which have the smallest distortion at the formulated compressed code rate according to Lagrance algorithm and, and intercepts a part of the code stream of each coefficient block, so as to be output to the exterior after being spliced with assistant information after encoded by RS.

Description

technical field [0001] The invention relates to an image compression processing system, in particular to an image compression processing system based on the JPEG2000 standard, which is realized by using multiple DSPs and multiple FPGAs, and is oriented to high-fidelity, high-reliability, and real-time processing of remote sensing images. Background technique [0002] JPEG2000 is a still image compression standard formulated and promulgated by the Still Image Coding Group of the International Organization for Standardization in 2000. JPEG2000 changed the transformation method of the traditional JPEG standard with DCT transformation as the core, and adopted the wavelet transformation method with more concentrated energy characteristics. The technical core of JPEG2000 is discrete wavelet transform and rate-distortion optimized interception embedded code block coding algorithm EBCOT (Embedded Block Coding with Optimized Truncation). The basic structure of the JPEG2000 algorithm...

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Problems solved by technology

However, the patent does not give the actual hardware system and the quality of the restored image after the algorithm is improved.

The article "Remote Sensing Image Compression System Based on Multi-DSP" published by Ge Baoshan on Computer Engineering and Design in December 2007 also provides a remote sensing image compression processing system, the remote sensing image compression system based on multi-DSP Four DSPs are used for remote sensing image compression. Although the restored image quality is better than JPEG2000, the processing speed is only 50Mbit / s. If the pixel is 8-bit precision, the processing speed is only 6.25MSample / s, which cannot meet the requirements of spaceborne remote sensing image compression. High-speed (30MSample / s), high-fidelity (equivalent to JPEG2000 standard software KDU) application requirements

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