| Presentation | 1998/5/25 New approach to image restoration problem by using ICA Shinji Umeyama, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | ICA(Independent Component Analysis)is a new data analysis method, and its computation algorithms and applications are widely studied recently. Most applications, however, are for the field of one-dimensional data analysis, e.g.sound data analysis, and few applications for two-dimensional data(e.g., image data)are studied. In this paper, we give a new application of ICA for the two-dimensinal data analysis, which is an image restoration of the blured images. The proposed method restores the original image without knowing the bluring process. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ICA / image restoration / blind deconvolution / blured image / cumulant |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/5/25(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | New approach to image restoration problem by using ICA |
| Sub Title (in English) | |
| Keyword(1) | ICA |
| Keyword(2) | image restoration |
| Keyword(3) | blind deconvolution |
| Keyword(4) | blured image |
| Keyword(5) | cumulant |
| 1st Author's Name | Shinji Umeyama |
| 1st Author's Affiliation | Electrotechnical Laboratory() |
| Date | 1998/5/25 |
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| Volume (vol) | vol.98 |
| Number (no) | 77 |
| Page | pp.pp.- |
| #Pages | 8 |
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