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Paper Abstract and Keywords
Presentation 2019-03-15 13:00
Non-blind image deblurring using deep image prior
Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) IMQ2018-66 IE2018-150 MVE2018-97
Abstract (in Japanese) (See Japanese page) 
(in English) Deep learning has become a major tools for image generation and image restoration. General approach for deep learning is to extract a image feature from a large number of images. Recently, a method called deep image prior has shown that a generator network has an ability to hold a image's structure and it can be used as a prior information for image restoration problem such as denoising. This paper shows that combining the convolution operation to the deep image prior achieves the image restoration such as deblurring. The simulation over standard images and kernels shows that our method can achieve more accurate image restoration compared to other image deblurring methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Image deblurring / Image restoration / Deep learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 501, IE2018-150, pp. 239-244, March 2019.
Paper # IE2018-150 
Date of Issue 2019-03-07 (IMQ, IE, MVE) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IMQ2018-66 IE2018-150 MVE2018-97

Conference Information
Committee IMQ IE MVE CQ  
Conference Date 2019-03-14 - 2019-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) media of five senses, multimedia, media experience, picture codinge, image media quality, network,quality and reliability, etc 
Paper Information
Registration To IE 
Conference Code 2019-03-IMQ-IE-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Non-blind image deblurring using deep image prior 
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Keyword(1) Image deblurring  
Keyword(2) Image restoration  
Keyword(3) Deep learning  
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1st Author's Name Takanori Fujisawa  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Masaaki Ikehara  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker
Date Time 2019-03-15 13:00:00 
Presentation Time 25 
Registration for IE 
Paper # IEICE-IMQ2018-66,IEICE-IE2018-150,IEICE-MVE2018-97 
Volume (vol) IEICE-118 
Number (no) no.500(IMQ), no.501(IE), no.502(MVE) 
Page pp.239-244 
#Pages IEICE-6 
Date of Issue IEICE-IMQ-2019-03-07,IEICE-IE-2019-03-07,IEICE-MVE-2019-03-07 


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