Fault-tolerant image filter design using particle swarm optimization

Zhiguo Bao*, Fangfang Wang, Xiaoming Zhao, Takahiro Watanabe

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

This article describes a mixed constrained image filter design with fault tolerance 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 in order to optimize the complexity and power of the circuit, and the signal delay in both the CLBs and the 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 on a device with no faults.

本文言語English
ページ(範囲)333-337
ページ数5
ジャーナルArtificial Life and Robotics
16
3
DOI
出版ステータスPublished - 2011 12月 1

ASJC Scopus subject areas

  • 生化学、遺伝学、分子生物学(全般)
  • 人工知能

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