Presentation 2007-06-21
An Unsupervised Design Method for Weighted Median filters
Mitsuji Muneyasu, Kousuke Shiohama, Akira Asano,
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Abstract(in English) Estimation of a suitable window shape and appropriate weights in weighted median filters is one of important problems. In this paper, we propose a new unsupervised design method for window shapes and weights of weighted median filters. This technique is applied to texture images corrupted by impulse noise. As the performance measure for optimization by the simulated annealing method, the rank-ordered absolute differences statistic is used for the estimation of the window shapes and weights, respectively. The simulation results show that the proposed method can design the weighted median filters with almost same performance compared to the one by the supervised technique.
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Keyword(in English) texture images / impulse noise / weighted median filter / simulated annealing
Paper # CAS2007-2,VLD2007-18,SIP2007-32
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Committee SIP
Conference Date 2007/6/14(1days)
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Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Unsupervised Design Method for Weighted Median filters
Sub Title (in English)
Keyword(1) texture images
Keyword(2) impulse noise
Keyword(3) weighted median filter
Keyword(4) simulated annealing
1st Author's Name Mitsuji Muneyasu
1st Author's Affiliation Faculty of Engineering, Kansai University()
2nd Author's Name Kousuke Shiohama
2nd Author's Affiliation Faculty of Engineering, Kansai University
3rd Author's Name Akira Asano
3rd Author's Affiliation Graduate School of Engineering, Hiroshima University
Date 2007-06-21
Paper # CAS2007-2,VLD2007-18,SIP2007-32
Volume (vol) vol.107
Number (no) 104
Page pp.pp.-
#Pages 6
Date of Issue