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Paper Abstract and Keywords
Presentation 2017-01-19 16:10
Source Estimation of en-face OCT by Sparse Signal Modeling
Takumi Kawamura, Shunpei Ito, Shogo Muramatsu, Samuel Choi (Niigata Univ.) IT2016-79 SIP2016-117 RCS2016-269
Abstract (in Japanese) (See Japanese page) 
(in English) This work proposes a perform source estimation method of en-face optical coherence tomography (OCT)
through sparse signal modeling. The en-face OCT is a technique that enables high-resolution acquisition of tomo-
graphic images of organism in short time using multi-frequency infra-red rays. The authors are trying to apply
it to observe the hair cells of the cochlea of the inner ear. However, acquired data deteriorate due to optical and
electrical factors such as lens aberration and sensitivity of an image sensor for capturing re
ected light. From the
above reasons, a high quality image recovery technique is required. In this study, a source signal estimation method
with 3-D non-separable oversampled lapped transform (3-D NSOLT) is proposed, which the authors proposed as a
previous work. The performance is evaluated through simulation of en-face OCT restration for arti cially generated
data. The performance is compared with FFT-domain ltering in terms of peak signal-to-noise rate (PSNR) and
structual similarity index measure （SSIM） so that the signi cance of the proposed method is veri ed.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-separable oversampled lapped transforms / Optical coherence tomography / Sparse representation / Image restoration / Denoising / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 395, SIP2016-117, pp. 195-200, Jan. 2017.
Paper # SIP2016-117 
Date of Issue 2017-01-12 (IT, SIP, RCS) 
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 IT2016-79 SIP2016-117 RCS2016-269

Conference Information
Committee IT SIP RCS  
Conference Date 2017-01-19 - 2017-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka City Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Communications, Learning, Mathematical Science, Communication Theory, etc. 
Paper Information
Registration To SIP 
Conference Code 2017-01-IT-SIP-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Source Estimation of en-face OCT by Sparse Signal Modeling 
Sub Title (in English)  
Keyword(1) Non-separable oversampled lapped transforms  
Keyword(2) Optical coherence tomography  
Keyword(3) Sparse representation  
Keyword(4) Image restoration  
Keyword(5) Denoising  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Takumi Kawamura  
1st Author's Affiliation Niigta University (Niigata Univ.)
2nd Author's Name Shunpei Ito  
2nd Author's Affiliation Niigta University (Niigata Univ.)
3rd Author's Name Shogo Muramatsu  
3rd Author's Affiliation Niigta University (Niigata Univ.)
4th Author's Name Samuel Choi  
4th Author's Affiliation Niigta University (Niigata Univ.)
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Speaker Author-1 
Date Time 2017-01-19 16:10:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # IT2016-79, SIP2016-117, RCS2016-269 
Volume (vol) vol.116 
Number (no) no.394(IT), no.395(SIP), no.396(RCS) 
Page pp.195-200 
#Pages 6 
Date of Issue 2017-01-12 (IT, SIP, RCS) 

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