Fuzzy similarity measure-based hybrid image filter for color image restoration: Multimethodology evolutionary computation

Shu Mei Guo, Chin Chang Yang

研究成果: Article

4 引文 斯高帕斯(Scopus)

摘要

A fuzzy similarity measure-based hybrid image filter (FHF) is proposed for color image restoration in this paper. Operation is carried out in three steps: parameter optimization, hybrid image filter setup, and image restoration. For parameter optimization, a multimethodology evolutionary computation (MMEC) is presented for realparameter optimization problems. Then, FHF with a fuzzy-based similarity measure is introduced for noise reduction. Finally, a color image is restored with an experience-based construction of FHF which has been optimized via MMEC. Experimental results show the proposed FHF achieves a high peak signal-to-noise ratio and mean structural similarity by effectively reducingGaussian, impulse, and mixed-noise.

原文English
文章編號033015
期刊Journal of Electronic Imaging
20
發行號3
DOIs
出版狀態Published - 2011 七月 1

    指紋

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

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