Mixed constrained image filter design for salt-and-pepper noise reduction using Genetic Algorithm

Zhiguo Bao, Fangfang Wang, Xiaoming Zhao, Takahiro Watanabe

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper describes mixed constrained image filter design for noise reduction using a Genetic Algorithm (GA) with parameterized uniform crossover. The proposed method with GA autonomously synthesizes a filter suitable for the reconfigurable processing array, evaluating the complexity, power and signal delay in both Configurable Logic Blocks (CLBs) and wires. An image filter for noise reduction is experimentally synthesized to verify the validity of the proposed method. By the evolution, the quality of the optimized image filter is better than that reported in other papers.

Original languageEnglish
Pages (from-to)584-591
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Volume131
Issue number3
DOIs
Publication statusPublished - 2011

Keywords

  • Circuit optimization
  • Genetic algorithm
  • Image filter design
  • Noise reduction

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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