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Paper Abstract and Keywords
Presentation 2016-08-26 10:35
Super resolution of vein images using convolutional neural networks
Koji Kashihara (Tokushima Univ.) SIP2016-80
Abstract (in Japanese) (See Japanese page) 
(in English) If super-resolution techniques improve the quality of near-infrared images with a low signal-to-noise ratio, they could detect abnormal veins at an early stage. As a super-resolution technique, convolutional neural networks (CNNs) were applied to degraded images and the effectiveness was investigated. The CNNs after optimal tuning of the structure and parameters sufficiently improved the image quality, whereas the vein images contained complicated shapes. In special, pooling layers corresponding to convolutional layers were able to enhance the generalization capacity of the CNNs. In future, developing of an e-healthcare system with super-resolution techniques will be useful for the quick detection of abnormal veins.
Keyword (in Japanese) (See Japanese page) 
(in English) Filter kernel / Near infrared images / Sparse coding / Denoising / Biological signal processing / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 196, SIP2016-80, pp. 39-44, Aug. 2016.
Paper # SIP2016-80 
Date of Issue 2016-08-18 (SIP) 
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 SIP2016-80

Conference Information
Committee SIP  
Conference Date 2016-08-25 - 2016-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba Institute of Technology, Tsudanuma Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Fundamental theory, machine learning, and signal processing 
Paper Information
Registration To SIP 
Conference Code 2016-08-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Super resolution of vein images using convolutional neural networks 
Sub Title (in English)  
Keyword(1) Filter kernel  
Keyword(2) Near infrared images  
Keyword(3) Sparse coding  
Keyword(4) Denoising  
Keyword(5) Biological signal processing  
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1st Author's Name Koji Kashihara  
1st Author's Affiliation Tokushima University (Tokushima Univ.)
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Speaker Author-1 
Date Time 2016-08-26 10:35:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # SIP2016-80 
Volume (vol) vol.116 
Number (no) no.196 
Page pp.39-44 
#Pages 6 
Date of Issue 2016-08-18 (SIP) 

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