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Paper Abstract and Keywords
Presentation 2019-06-13 16:25
[Invited Talk] Image Processing Based on Sparse and Low-rank Modeling
Seisuke Kyochi (The Univ. of Kitakyushu) SIS2019-10
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents fundamental tools for image recovery by convex optimization and introduces some case study from the author’s related works. During the image acquisition, images are often corrupted by many kinds of degradation, such as noise, blur caused by incorrect focus or handshaking. In image recovery framework, each process of degradation is mathematically modeled as a regularizer and integrated into the cost function. Finally, by solving the inverse problem, the desired image is estimated. For accurate image recovery, a suitable regularizer should be designed. In this paper, some convex regularizers based on sparsity and low-rankness are presented and shown their effectiveness in experiments.
Keyword (in Japanese) (See Japanese page) 
(in English) Image recovery / Convex optimization / Sparse modeling / Low-rank modeling / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 78, SIS2019-10, pp. 55-60, June 2019.
Paper # SIS2019-10 
Date of Issue 2019-06-06 (SIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 SIS2019-10

Conference Information
Conference Date 2019-06-13 - 2019-06-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukue Culture Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Intelligent Multimedia Systems, Applied Enbedded Systems, Three-Dimensional Image Technology (3DIT), etc. 
Paper Information
Registration To SIS 
Conference Code 2019-06-SIS-AVM-3DIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Processing Based on Sparse and Low-rank Modeling 
Sub Title (in English)  
Keyword(1) Image recovery  
Keyword(2) Convex optimization  
Keyword(3) Sparse modeling  
Keyword(4) Low-rank modeling  
1st Author's Name Seisuke Kyochi  
1st Author's Affiliation The University of Kitakyushu (The Univ. of Kitakyushu)
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Date Time 2019-06-13 16:25:00 
Presentation Time 60 
Registration for SIS 
Paper # IEICE-SIS2019-10 
Volume (vol) IEICE-119 
Number (no) no.78 
Page pp.55-60 
#Pages IEICE-6 
Date of Issue IEICE-SIS-2019-06-06 

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