Presentation 1997/5/15
Bayesian Restoration Methods of Defocusing Images Using a Genetic Algorithm
Noboru Yabuki, Shigehiko Miki, Yutaka Fukui,
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Abstract(in English) In this paper, restoration methods of defocusing images in white Gaussian noise using genetic algorithms (GAs) are described. One of important problems in restoration methods using GAs is that what kind of an objective function is used in GAs. A new method, 9-pixel averaging method, which uses the objective function obtained by applying. Bayesian rule to images after smoothing operation for observed images is proposed. The method using the objective function obtained by applying directly. Bayesian rule to observed images is named 'simple method'. Comparison of 9-pixel averaging method with simple method in simulation, theoretical calculation and quasi theoretical calculation are reported.
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Keyword(in English) genetic algorithm / restoration of defocusing images / Bayesian rule
Paper # PRMU97-19
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Conference Information
Committee PRMU
Conference Date 1997/5/15(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bayesian Restoration Methods of Defocusing Images Using a Genetic Algorithm
Sub Title (in English)
Keyword(1) genetic algorithm
Keyword(2) restoration of defocusing images
Keyword(3) Bayesian rule
1st Author's Name Noboru Yabuki
1st Author's Affiliation Tsuyama National College of Technology()
2nd Author's Name Shigehiko Miki
2nd Author's Affiliation Tsuyama National College of Technology
3rd Author's Name Yutaka Fukui
3rd Author's Affiliation Faculty of Engineering, Tottori University
Date 1997/5/15
Paper # PRMU97-19
Volume (vol) vol.97
Number (no) 40
Page pp.pp.-
#Pages 8
Date of Issue