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| Presentation | 2016-07-01 13:10 A constrained optimization approach to image restoration using blurred/noisy image pair Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.)  IE2016-40 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Existing image restoration methods with a blurred/noisy image pair do not fully exploit the information on both images in the restoration phase.In this report, we propose a new image restoration method of using a blurred/noisy image pair, where the restoration is formulated as a constrained convex optimization problem, and then it is efficiently solved by the so-called alternating direction method of multipliers (ADMM). The proposed method has two advantages over the existing methods: (i) the optimization problem is solved without approximation to the objective function, leading to high quality restoration; and (ii) the parameters controlling the degree of data-fidelity have clear meaning, so that the parameter setting is much more intuitive. Experimental results demonstrate the effectiveness of the proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | image restoration / denoising / deblurring / ADMM / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 119, IE2016-40, pp. 25-29, July 2016. | |
| Paper # | IE2016-40 | |
| Date of Issue | 2016-06-24 (IE) | |
| 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) | |
| Download PDF | IE2016-40 |
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| Conference Information | |
| Committee | IE |
| Conference Date | 2016-07-01 - 2016-07-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2016-06-IE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A constrained optimization approach to image restoration using blurred/noisy image pair |
| Sub Title (in English) | |
| Keyword(1) | image restoration |
| Keyword(2) | denoising |
| Keyword(3) | deblurring |
| Keyword(4) | ADMM |
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| 1st Author's Name | Saori Takeyama |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech.) |
| 2nd Author's Name | Shunsuke Ono |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech.) |
| 3rd Author's Name | Itsuo Kumazawa |
| 3rd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech.) |
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| Speaker | Author-1 |
| Date Time | 2016-07-01 13:10:00 |
| Presentation Time | 30 minutes |
| Registration for | IE |
| Paper # | IE2016-40 |
| Volume (vol) | vol.116 |
| Number (no) | no.119 |
| Page | pp.25-29 |
| #Pages | 5 |
| Date of Issue | 2016-06-24 (IE) |
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