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

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

4 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)584-591
ページ数8
ジャーナルIEEJ Transactions on Electronics, Information and Systems
131
3
DOI
出版ステータスPublished - 2011

ASJC Scopus subject areas

  • 電子工学および電気工学

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