进化型硬件在图像压缩中的应用研究  

Study on applications of evolutional hardware in image compression

作　　者：乔双[1] 宋建中[2] 

机构地区：[1]东北师范大学物理系,吉林长春130024 [2]中国科学院长春光学精密机械与物理研究所,吉林长春130022

出　　处：《光电工程》2002年第6期67-69,共3页Opto-Electronic Engineering

摘　　要：进化型硬件是一种可由进化算法来改变其结构的硬件。在此提出了一种由分类单元、进化单元和函数单元组成的适用于图像压缩的进化型硬件结构。其中进化单元和函数单元并行工作。在压缩过程中以函数进化的方式,使该硬件能够根据图像的特点来探索最优预测函数。仿真实验表明,当PSNR=24～30(dB)时,压缩比优于JPEG、Fractal、Wavelet,最高可达200:1。The evolutional hardware is a structural hardware that its structure can be changed by evolutional algorithm. An evolutional type structure consisting of taxon unit, evolutional unit and function unit that is suitable for image compression is proposed. Among them evolutional unit and function unit operate in parallel. In the process of compression the function evolution way makes the hardware can explore the optimized prediction function according to image characteristics. The simulation results show that the compression ratio is better than JPEG, Fractal, Wavelet and maximum can attain 200:1 when PSNR=24~30(dB).

关 键 词：图像压缩 进化型硬件 遗传算法 EHW 

分 类 号：TN911.73[电子电信—通信与信息系统]