Fault-tolerant image filter design using GA

Zhiguo Bao, Fangfang Wang, Xiaoming Zhao, Takahiro Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
Pages897-902
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: 2010 Nov 212010 Nov 24

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other2010 IEEE Region 10 Conference, TENCON 2010
CountryJapan
CityFukuoka
Period10/11/2110/11/24

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Bao, Z., Wang, F., Zhao, X., & Watanabe, T. (2010). Fault-tolerant image filter design using GA. In TENCON 2010 - 2010 IEEE Region 10 Conference (pp. 897-902). [5686557] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2010.5686557