Fault-tolerant image filter design using particle swarm optimization

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)333-337
Number of pages5
JournalArtificial Life and Robotics
Issue number3
Publication statusPublished - 2011 Dec 1


  • Fault tolerant
  • Mixed constrained image filter design
  • Particle swarm optimization

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence


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