Presentation 2006/3/15
A Face Image Enhancement and Beautification System Using Interactive Evolutionary Computing
Fumio TAJIRI, Takashi MATSUI, Kaoru ARAKAWA, Kohei NOMOTO,
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Abstract(in English) An image processing system for enhancing and beautifying human face images is proposed using interactive evolutionary computing. Authors proposed before a nonlinear digital filter bank system which removes undesirable skin components, such as wrinkles and spots, from human face images to make the face look beautified. Also, the system is deigned optimally on the basis of human subjective criteria using interactive evolutionary computing. The system was shown to be almost effective, but it slightly blurs the input face image. Here, image enhancement using unsharp masking is introduced to make the face image look sharpened. The whole system is also designed by the interactive evolutionary computing. The new system can also enhance an originally blurred face image. The new system is verified to be effective in processing an actual face image.
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Keyword(in English) Nonlinear digital filter / Face image processing / Interactive evolutionary computing / Optimization / Genetic algorithm
Paper # SIS2005-67
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Conference Date 2006/3/15(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Face Image Enhancement and Beautification System Using Interactive Evolutionary Computing
Sub Title (in English)
Keyword(1) Nonlinear digital filter
Keyword(2) Face image processing
Keyword(3) Interactive evolutionary computing
Keyword(4) Optimization
Keyword(5) Genetic algorithm
1st Author's Name Fumio TAJIRI
1st Author's Affiliation Dept. of Computer Science, Meiji University()
2nd Author's Name Takashi MATSUI
2nd Author's Affiliation Dept. of Computer Science, Meiji University
3rd Author's Name Kaoru ARAKAWA
3rd Author's Affiliation Dept. of Computer Science, Meiji University
4th Author's Name Kohei NOMOTO
4th Author's Affiliation Mitsubishi Electric Corporation
Date 2006/3/15
Paper # SIS2005-67
Volume (vol) vol.105
Number (no) 677
Page pp.pp.-
#Pages 5
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