Presentation | 2014-03-07 A noise identification method using SVM for still images Daichi AOSHIMA, Yasuhiro INAZUMI, Yuukou HORITA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Conventional noise identification method are performed against single noise such as blur and gaussian noise. However, digital images are subject to a wide variety of distortions during processing, compression, transmission and reproduction. Therefore, it is necessary to identify not only single noise image, but also multiple distortions images. In this paper, we propose a noise identification method using SVM for still images. The experiment result shows that multiple noise identification require multiple only noise discriminator. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SVM / Multiple noise identification / Discriminator |
Paper # | IMQ2013-49,IE2013-158,MVE2013-87 |
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Committee | MVE |
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Conference Date | 2014/2/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A noise identification method using SVM for still images |
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Keyword(1) | SVM |
Keyword(2) | Multiple noise identification |
Keyword(3) | Discriminator |
1st Author's Name | Daichi AOSHIMA |
1st Author's Affiliation | Graduate School of Science and Engineering for Education, University of Toyama() |
2nd Author's Name | Yasuhiro INAZUMI |
2nd Author's Affiliation | Graduate School of Science and Engineering for Research, University of Toyama |
3rd Author's Name | Yuukou HORITA |
3rd Author's Affiliation | Graduate School of Science and Engineering for Research, University of Toyama |
Date | 2014-03-07 |
Paper # | IMQ2013-49,IE2013-158,MVE2013-87 |
Volume (vol) | vol.113 |
Number (no) | 470 |
Page | pp.pp.- |
#Pages | 4 |
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