Design and Algorithm Research of Image Compression System Based on DSP Techniques

The need for effective data compression is evident in almost all applications where storage and transmission of digital images are involved. For the simple hardware complexity it is so easy to implement in SILL A logic scheme image processing system based on coordinated DSP and FPGA techniques is presented, in this system, FPGA is used as image acquisition unit and DSP is designated to image compression. In order to dispose computational complexity and search precision aiming at the black match algorithm, in this paper, a method of Block Match Quantum-behaved Particle Swarm Optimization(BMQPSO) is introduced in order to realize the image compression problem. During the process of image compression, an ordered representation frame of image is first searched by particles, and then the compressed code was optimized according to the particles astringency. Experimental results show that the compression efficiency of BMQPSO algorithm is much better than classical algorithms.