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Paper Abstract and Keywords
Presentation 2016-07-29 15:45
A noise predictor based on image features for an IQA database
Yasuhiro Inazumi, Naho Ito, Yuukou Horita (Univ. of Toyama) IMQ2016-14 HIP2016-40
Abstract (in Japanese) (See Japanese page) 
(in English) A set of images and mean opinion scores is needed to develop an objective image quality assessment (IQA). Recently, public IQA databases are available such as LIVE, CSIQ, TID2008, and TID2013. In the case of a few kind of noise, the performance of IQA is high. On the other hand, in the event of the many kinds of noise, the performance of IQA decrease. We develop a novel IQA framework based on noise predictor. The IQA framework consists of an IQA method and support vector machine (SVM). Here, the SVM is preprocessing of IQA to predict kind of noise. If the SVM can predict kind of noise high precision, the IQA framework is high performance. Therefore, this paper proposes a noise predictor based on image features for an IQA database.
Keyword (in Japanese) (See Japanese page) 
(in English) objective image quality assessment / noise predictor / image features / TID2013 / FSIM / FSIMc / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 166, IMQ2016-14, pp. 43-47, July 2016.
Paper # IMQ2016-14 
Date of Issue 2016-07-22 (IMQ, HIP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee IMQ HIP  
Conference Date 2016-07-29 - 2016-07-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Sapporp City Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IMQ 
Conference Code 2016-07-IMQ-HIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A noise predictor based on image features for an IQA database 
Sub Title (in English)  
Keyword(1) objective image quality assessment  
Keyword(2) noise predictor  
Keyword(3) image features  
Keyword(4) TID2013  
Keyword(5) FSIM  
Keyword(6) FSIMc  
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Keyword(8)  
1st Author's Name Yasuhiro Inazumi  
1st Author's Affiliation University of Toyama (Univ. of Toyama)
2nd Author's Name Naho Ito  
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
Date Time 2016-07-29 15:45:00 
Presentation Time 25 
Registration for IMQ 
Paper # IEICE-IMQ2016-14,IEICE-HIP2016-40 
Volume (vol) IEICE-116 
Number (no) no.166(IMQ), no.167(HIP) 
Page pp.43-47 
#Pages IEICE-5 
Date of Issue IEICE-IMQ-2016-07-22,IEICE-HIP-2016-07-22 


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