Fault-tolerant Image Filter Design using Particle Swarm Optimization

被引:0
|
作者
Bao, Zhiguo [1 ]
Wang, Fangfang [1 ]
Zhao, Xiaoming [1 ]
Watanabe, Takahiro [1 ]
机构
[1] Waseda Univ, Grad Sch Informat Prod & Syst, Kitakyushu, Fukuoka, Japan
基金
日本科学技术振兴机构;
关键词
Particle Swarm Optimization; Mixed Constrained Image Filter Design; Fault Tolerant; HARDWARE IMPLEMENTATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes mixed constrained image filter design with fault tolerant using Particle Swarm Optimization (PSO) on a reconfigurable processing array. There may be some faulty Configurable Logic Blocks (CLBs) in a reconfigurable processing array. The proposed method with PSO autonomously synthesizes a filter fitted to the reconfigurable device with some faults, to optimize the complexity and power of a circuit, and signal delay in both CLBs and wires. An image filter for noise reduction is experimentally synthesized to verify the validity of our method. By evolution, the quality of the optimized image filter on a reconfigurable device with a few faults is almost same as that with no fault.
引用
收藏
页码:653 / 658
页数:6
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