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

Zhiguo Bao, Fangfang Wang, Xiaoming Zhao, Takahiro Watanabe

研究成果: Article

4 引用 (Scopus)

抜粋

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.

元の言語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
発行部数3
DOI
出版物ステータスPublished - 2011

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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