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Paper Abstract and Keywords
Presentation 2017-03-01 14:50
Image restoration based on weighted average of multiple blurred and noisy images
Ryo Tanikawa, Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) EA2016-111 SIP2016-166 SP2016-106
Abstract (in Japanese) (See Japanese page) 
(in English) Many methods for restoring images degraded by noise or blur use one noise image or blurred image. BM3D as a typical noise elimination method, and BM3DDEB as a blur removal method. In recent years, a restoration method using a plurality of noise images and blurred images obtained by photographing the same scene a plurality of times has been proposed for the restoration method dealing with these single images. In this paper, we assume the latter case and perform image restoration using two types of images: image restoration using two noise images and noise image blurred image. By taking a weighted average of two noise images or a noise image and a blurred image, a weighted average image including useful image information possessed by each deteriorated image is obtained. We show that image restoration with higher precision can be realized than
BM3D or BM3DDEB on these weighted average images, compared to using only a single image .
Keyword (in Japanese) (See Japanese page) 
(in English) image restoration / denoising / deblurring / BM3D / BM3DDEB / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 476, SIP2016-166, pp. 165-170, March 2017.
Paper # SIP2016-166 
Date of Issue 2017-02-22 (EA, SIP, SP) 
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 EA2016-111 SIP2016-166 SP2016-106

Conference Information
Committee SP SIP EA  
Conference Date 2017-03-01 - 2017-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics 
Paper Information
Registration To SIP 
Conference Code 2017-03-SP-SIP-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image restoration based on weighted average of multiple blurred and noisy images 
Sub Title (in English)  
Keyword(1) image restoration  
Keyword(2) denoising  
Keyword(3) deblurring  
Keyword(4) BM3D  
Keyword(5) BM3DDEB  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryo Tanikawa  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Takanori Fujisawa  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Masaaki Ikehara  
3rd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2017-03-01 14:50:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # EA2016-111, SIP2016-166, SP2016-106 
Volume (vol) vol.116 
Number (no) no.475(EA), no.476(SIP), no.477(SP) 
Page pp.165-170 
#Pages 6 
Date of Issue 2017-02-22 (EA, SIP, SP) 

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