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Paper Abstract and Keywords
Presentation 2012-03-08 10:05
A Visually Better Recovered Image Selection for Imaging Inverse Problems
Shunsuke Ono, Takamichi Miyata, Isao Yamada (Tokyo Inst. of Tech.) CAS2011-108 SIP2011-128 CS2011-100
Abstract (in Japanese) (See Japanese page) 
(in English) In the last decade, many image recovery problems have been formulated as a certain nonsmooth convex minimization problem (we call it an original problem), and its minimizer, i.e., a recovery image, is not unique in some
cases. In such cases, there exists visually different recovery images, and conventional image recovery techniques can not select a desired (visually better) recovery image. In this paper, we propose an optimization framework which allows us to select a better recovery image of the original problem in terms of the visual quality. First, a criteria
function is introduced to choose a visually better recovery image from the set of minimizers of the original problem. Then, we formulate a hierarchical convex optimization problem which minimizes the criteria function over the set. The iterative algorithm based on the hybrid steepest descent method to solve the problem is also presented. To
apply the hybrid steepest descent method to the problem, we characterize the set of the minimizers of the original problem by the Douglas-Rachford splitting operator. Numerical results showed that, in case of the total variation based recovery, a visually better recovery image can be obtained by using our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Image recovery / Convex optimization / Inverse problem / Hybrid steepest descent method / Douglas-Rachford splitting / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 466, SIP2011-128, pp. 7-12, March 2012.
Paper # SIP2011-128 
Date of Issue 2012-03-01 (CAS, SIP, CS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 CAS2011-108 SIP2011-128 CS2011-100

Conference Information
Committee CAS CS SIP  
Conference Date 2012-03-08 - 2012-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Niigata 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Processor, Signal Processing for communication, and Wireless LAN/PAN, etc. 
Paper Information
Registration To SIP 
Conference Code 2012-03-CAS-CS-SIP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Visually Better Recovered Image Selection for Imaging Inverse Problems 
Sub Title (in English)  
Keyword(1) Image recovery  
Keyword(2) Convex optimization  
Keyword(3) Inverse problem  
Keyword(4) Hybrid steepest descent method  
Keyword(5) Douglas-Rachford splitting  
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1st Author's Name Shunsuke Ono  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Takamichi Miyata  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Isao Yamada  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
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Speaker Author-1 
Date Time 2012-03-08 10:05:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # CAS2011-108, SIP2011-128, CS2011-100 
Volume (vol) vol.111 
Number (no) no.465(CAS), no.466(SIP), no.467(CS) 
Page pp.7-12 
#Pages
Date of Issue 2012-03-01 (CAS, SIP, CS) 


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