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Paper Abstract and Keywords
Presentation 2024-08-26 12:50
Image Restoration Using Accelerated Subgradient Method with Learned Convex Regularizers
Kosuke Sugimura (Osaka Univ.), Ryo Hayakawa (TUAT), Yoji Iiguni (Osaka Univ.) SIP2024-44
Abstract (in Japanese) (See Japanese page) 
(in English) Image restoration is the estimation of an unknown image from its degraded measurement.
One approach for the image restoration problem is to minimize a objective function consisting of a data-fidelity term and a regularization term.
The regularization term is often designed manually, whereas a machine learning-based regularizer called adversarial convex regularizers (ACR) has been proposed to improve the accuracy.
In this study, we propose image restoration algorithms on the basis of the conventional subgradient method and acceleration techniques for the optimization problem with ACR.
Simulation results show the performance of the proposed approach for computed tomography (CT).
Keyword (in Japanese) (See Japanese page) 
(in English) image restoration / convex optimization / learned convex regularizer / accelerated gradient method / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 162, SIP2024-44, pp. 1-6, Aug. 2024.
Paper # SIP2024-44 
Date of Issue 2024-08-19 (SIP) 
ISSN 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 SIP2024-44

Conference Information
Committee SIP  
Conference Date 2024-08-26 - 2024-08-27 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Fukui (Bunkyo Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal processing, etc. 
Paper Information
Registration To SIP 
Conference Code 2024-08-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Restoration Using Accelerated Subgradient Method with Learned Convex Regularizers 
Sub Title (in English)  
Keyword(1) image restoration  
Keyword(2) convex optimization  
Keyword(3) learned convex regularizer  
Keyword(4) accelerated gradient method  
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1st Author's Name Kosuke Sugimura  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Ryo Hayakawa  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Yoji Iiguni  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2024-08-26 12:50:00 
Presentation Time 20 minutes 
Registration for SIP 
Paper # SIP2024-44 
Volume (vol) vol.124 
Number (no) no.162 
Page pp.1-6 
#Pages 6 
Date of Issue 2024-08-19 (SIP) 

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