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 |
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) |
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SIS2019-10 |
Conference Information |
Committee |
SIS IPSJ-AVM ITE-3DMT |
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) |
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Image recovery |
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Convex optimization |
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Sparse modeling |
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Low-rank modeling |
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1st Author's Name |
Seisuke Kyochi |
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The University of Kitakyushu (The Univ. of Kitakyushu) |
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Speaker |
Author-1 |
Date Time |
2019-06-13 16:25:00 |
Presentation Time |
60 minutes |
Registration for |
SIS |
Paper # |
SIS2019-10 |
Volume (vol) |
vol.119 |
Number (no) |
no.78 |
Page |
pp.55-60 |
#Pages |
6 |
Date of Issue |
2019-06-06 (SIS) |
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