Evolutionary design for image filter using GA

Zhiguo Bao*, Takahiro Watanabe

*Corresponding author for this work

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

5 Citations (Scopus)


This paper describes evolutionary image filter design for noise reduction using Genetic Algorithm (GA), where the circuit complexity, power and signal delay are optimized. First, the evaluating value about correctness, complexity, power and signal delay are introduced to the fitness function. Then GA autonomously synthesizes a circuit which is simple and has good performance. To verify the effectiveness of our method, an image filter for noise reduction is experimentally synthesized. The resultant image filter by GA and the quality of filtered image are discussed.

Original languageEnglish
Title of host publicationTENCON 2009 - 2009 IEEE Region 10 Conference
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE Region 10 Conference, TENCON 2009 - Singapore, Singapore
Duration: 2009 Nov 232009 Nov 26

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON


Conference2009 IEEE Region 10 Conference, TENCON 2009

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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