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Paper Abstract and Keywords
Presentation 2014-03-07 09:10
A noise identification method using SVM for still images
Daichi Aoshima, Yasuhiro Inazumi, Yuukou Horita (Univ. of Toyama) IMQ2013-49 IE2013-158 MVE2013-87
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) SVM / Multiple noise identification / Discriminator / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 468, IMQ2013-49, pp. 121-124, March 2014.
Paper # IMQ2013-49 
Date of Issue 2014-02-27 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IMQ2013-49 IE2013-158 MVE2013-87

Conference Information
Committee CQ MVE IE IMQ CEA  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu International Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Five senses media, Food media, Social media, Multimedia, Virtual Environment, Image encoding, Cloud, Mobile, Network, and their quality and reliability，General area 
Paper Information
Registration To IMQ 
Conference Code 2014-03-CQ-MVE-IE-IMQ 
Language Japanese 
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  
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1st Author's Name Daichi Aoshima  
1st Author's Affiliation University of Toyama (Univ. of Toyama)
2nd Author's Name Yasuhiro Inazumi  
2nd Author's Affiliation University of Toyama (Univ. of Toyama)
3rd Author's Name Yuukou Horita  
3rd Author's Affiliation University of Toyama (Univ. of Toyama)
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Speaker Author-1 
Date Time 2014-03-07 09:10:00 
Presentation Time 25 minutes 
Registration for IMQ 
Paper # IMQ2013-49, IE2013-158, MVE2013-87 
Volume (vol) vol.113 
Number (no) no.468(IMQ), no.469(IE), no.470(MVE) 
Page pp.121-124 
#Pages 4 
Date of Issue 2014-02-27 (IMQ, IE, MVE) 

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