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Paper Abstract and Keywords
Presentation 2019-03-14 14:20
Implementation and Evaluation of Total Variation Regularization Decomposition for Super Resolution using an Inexpensive Single Board Computer
Hiromasa Takeda, Taiki Kondo, Hiroto Kizuna, Hiroyuki Sato, Eiji Sugino (Iwate Pref. Univ.) IMQ2018-39 IE2018-123 MVE2018-70
Abstract (in Japanese) (See Japanese page) 
(in English) With the advent of large and high resolution displays in recent years, large screen electronic signage such as digital signage has begun to spread. However, from the viewpoint of cost, since the input image of low resolution is simply enlarged and displayed by nearest neighbor interpolation or the like according to the high resolution display, visibility is low. Therefore, while reducing the cost of the on-board processor, it is desirable to realize a super resolution technique that does not cause degradation of image quality. In this research, TV regularization separation widely used for super-resolution is realized on RaspberryPi by parallel processing using GPGPU.
RaspberryPi has the characteristic that GPU with theoretical performance 24GFLOPS is installed though it is inexpensive.
As a result of performing the performance evaluation, we succeeded in speeding up about ten times as compared with the implementation which performs computation only with CPU.
Compared with general-purpose PCs, the price performance ratio of RaspberryPi GPU is overwhelmingly high, and it was confirmed that it is suitable for inexpensive construction of digital signage which switches images every second.
Keyword (in Japanese) (See Japanese page) 
(in English) Super resolution / Total Variation Regularization / GPGPU / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 501, IE2018-123, pp. 97-102, March 2019.
Paper # IE2018-123 
Date of Issue 2019-03-07 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 IMQ2018-39 IE2018-123 MVE2018-70

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) Implementation and Evaluation of Total Variation Regularization Decomposition for Super Resolution using an Inexpensive Single Board Computer 
Sub Title (in English)  
Keyword(1) Super resolution  
Keyword(2) Total Variation Regularization  
Keyword(3) GPGPU  
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1st Author's Name Hiromasa Takeda  
1st Author's Affiliation Iwate Prefectural University. (Iwate Pref. Univ.)
2nd Author's Name Taiki Kondo  
2nd Author's Affiliation Iwate Prefectural University. (Iwate Pref. Univ.)
3rd Author's Name Hiroto Kizuna  
3rd Author's Affiliation Iwate Prefectural University. (Iwate Pref. Univ.)
4th Author's Name Hiroyuki Sato  
4th Author's Affiliation Iwate Prefectural University. (Iwate Pref. Univ.)
5th Author's Name Eiji Sugino  
5th Author's Affiliation Iwate Prefectural University. (Iwate Pref. Univ.)
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Speaker Author-1 
Date Time 2019-03-14 14:20:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # IMQ2018-39, IE2018-123, MVE2018-70 
Volume (vol) vol.118 
Number (no) no.500(IMQ), no.501(IE), no.502(MVE) 
Page pp.97-102 
#Pages
Date of Issue 2019-03-07 (IMQ, IE, MVE) 


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