Presentation | 2009-09-25 Extension of Unsupervised Design Method for Weighted Median Filters Using GA Yoshiko HANADA, Mitsuji MUNEYASU, Akira ASANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Estimation of a suitable window shape and appropriate weights in weighted median filters is one of important problems. In this study, we formulate the design of weighted median filter as an optimization problem, and optimal window shapes and weights are estimated directly from degraded images. In the previous work, we estimated them by using a Genetic Algorithm (GA) on texture images corrupted by positive impulse noises. Here, we extends our proposed unsupervised design to the positive and negative impulse removal. Through experiments, it is shown that designed filters outperform compared to conventional impulse noise filters from the perspective of both high noise removal performance and preservative quality. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | texture images / impulse noise / weighted median filter / genetic algorithm |
Paper # | SIP2009-49,SIS2009-24 |
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Committee | SIS |
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Conference Date | 2009/9/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extension of Unsupervised Design Method for Weighted Median Filters Using GA |
Sub Title (in English) | |
Keyword(1) | texture images |
Keyword(2) | impulse noise |
Keyword(3) | weighted median filter |
Keyword(4) | genetic algorithm |
1st Author's Name | Yoshiko HANADA |
1st Author's Affiliation | Faculty of Engineering Science, Kansai University() |
2nd Author's Name | Mitsuji MUNEYASU |
2nd Author's Affiliation | Faculty of Engineering Science, Kansai University |
3rd Author's Name | Akira ASANO |
3rd Author's Affiliation | Graduate School of Engineering, Hiroshima University |
Date | 2009-09-25 |
Paper # | SIP2009-49,SIS2009-24 |
Volume (vol) | vol.109 |
Number (no) | 203 |
Page | pp.pp.- |
#Pages | 6 |
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