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Journal of Electronic Imaging

Fuzzy similarity measure-based hybrid image filter for color image restoration: multimethodology evolutionary computation
Author(s): Shu-Mei Guo; Chin-Chang Yang
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Paper Abstract

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 real-parameter 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 reducing Gaussian, impulse, and mixed-noise.

Paper Details

Date Published: 1 July 2011
PDF: 19 pages
J. Electron. Imaging. 20(3) 033015 doi: 10.1117/1.3626843
Published in: Journal of Electronic Imaging Volume 20, Issue 3
Show Author Affiliations
Shu-Mei Guo, National Cheng Kung Univ. (Taiwan)
Chin-Chang Yang, National Cheng Kung Univ. (Taiwan)

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