Presentation 2009-12-17
Optimum Design of Impulse Noise Removal Filter for Color Images Using Interactive Evolutionary Computing
Yohei KATSUYAMA, Kaoru ARAKAWA,
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Abstract(in English) A new type of digital filter for removing impulsive noise in color images is proposed using interactive evolutionary computing. This filter is realized as a rule-based system containing switching median filters. This filter detects impulsive noise in color images with rules and applies switching median filters only at the noisy pixel. Interactive evolutionary computing (IEC) is adopted to optimize the filter parameters, considering the subjective assessment by human vision. In order to detect impulsive noise precisely, complicated rules with multiple parameters are required. Here, the relationship between color components and the degree of peculiarity of the pixel value are utilized in the rules. Usually, optimization of such a complicated rule-based system is difficult, but IEC enables such optimization easily. Moreover, human taste and subjective sense are highly considered in the filter performance. Computer simulations are shown for noisy images to verify its high performance.
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Keyword(in English) interactive evolutionary computing / color image / impulse noise / noise reduction / optimum design
Paper # SIS2009-41
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Committee SIS
Conference Date 2009/12/10(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Optimum Design of Impulse Noise Removal Filter for Color Images Using Interactive Evolutionary Computing
Sub Title (in English)
Keyword(1) interactive evolutionary computing
Keyword(2) color image
Keyword(3) impulse noise
Keyword(4) noise reduction
Keyword(5) optimum design
1st Author's Name Yohei KATSUYAMA
1st Author's Affiliation Department of Computer Science, Graduate School of Science and Technology, Meiji University()
2nd Author's Name Kaoru ARAKAWA
2nd Author's Affiliation Department of Computer Science, Graduate School of Science and Technology, Meiji University
Date 2009-12-17
Paper # SIS2009-41
Volume (vol) vol.109
Number (no) 338
Page pp.pp.-
#Pages 6
Date of Issue