Fault-tolerant image filter design using GA
Zhiguo Bao, Fangfang Wang, Xiaoming Zhao, Takahiro Watanabe · 2010
This paper describes mixed constrained image filter design with fault tolerant using Genetic Algorithm (GA) on a reconfigurable processing array. There may be some faulty Configurable Logic Blocks (CLBs) in a reconfigurable processing array at random. The proposed method with GA autonomously synthesizes a filter fitted to the reconfigurable device with some faults, evaluating the complexity, power 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.