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 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.
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Keyword(in English) SVM / Multiple noise identification / Discriminator
Paper # IMQ2013-49,IE2013-158,MVE2013-87
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Conference Information
Committee MVE
Conference Date 2014/2/27(1days)
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Registration To Media Experience and Virtual Environment (MVE)
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
Sub Title (in English)
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
Date of Issue