| Presentation | 1997/7/18 Adaptive Order Statistics Filters with High Robustness Akira TAGUCHI, Mitsuhiko MEGURO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to reduce mixed noise from images, we have proposed the adaptive order statistics (OS) filter based on fuzzy rules. The output of the adaptive OS filter is the weighted sum of typical five OS filter's outputs. The weights are estimated by using fuzzy rules which consist of three local characteristics. The performance of the adaptive OS filter is good, however, it is necessary to change the fuzzy sets for local characteristics depend on the SNR of input images. In this paper, we introduce a new local characteristic and fix fuzzy rules by using this local characteristic. The performance of the proposed adaptive OS filter which is fixed fuzzy sets is good regardless of the SNR of input images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Nonlinear filtering / Order statistics filters / Fuzzy rules / Local characteristics |
| Paper # | CS97-62 |
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| Conference Information | |
| Committee | CS |
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| Conference Date | 1997/7/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Communication Systems (CS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Adaptive Order Statistics Filters with High Robustness |
| Sub Title (in English) | |
| Keyword(1) | Nonlinear filtering |
| Keyword(2) | Order statistics filters |
| Keyword(3) | Fuzzy rules |
| Keyword(4) | Local characteristics |
| 1st Author's Name | Akira TAGUCHI |
| 1st Author's Affiliation | Faculty of Engineering, Musashi Institute of Technology() |
| 2nd Author's Name | Mitsuhiko MEGURO |
| 2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
| Date | 1997/7/18 |
| Paper # | CS97-62 |
| Volume (vol) | vol.97 |
| Number (no) | 171 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |