Paper Abstract and Keywords |
Presentation |
2017-10-13 10:40
Parallelization of the structure of neural network for super-resolution Kenta Tanaka, Yasukuni Mori (Chiba Univ.) PRMU2017-89 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Super-resolution is a technique of outputting the high-resolution image for an image with low resolution.
In this paper, we propose a super-resolution technique using convolutional neural network(CNN).
By parallelizing CNN, our technique can accurately reproduce the edge part of the image, which is difficult with the conventional methods.
Experiments of super-resolution were performed on actual images, and comparison was made between cases where parallelization was performed and cases where parallelization was not performed.
As a result, in the evaluation values PSNR and SSIM, the proposed method exceeds the value of the conventional method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
super-resolution / neural network / deep learning / Parallelization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 238, PRMU2017-89, pp. 149-154, Oct. 2017. |
Paper # |
PRMU2017-89 |
Date of Issue |
2017-10-05 (PRMU) |
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) |
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PRMU2017-89 |
Conference Information |
Committee |
PRMU |
Conference Date |
2017-10-12 - 2017-10-13 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2017-10-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Parallelization of the structure of neural network for super-resolution |
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super-resolution |
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neural network |
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deep learning |
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Parallelization |
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1st Author's Name |
Kenta Tanaka |
1st Author's Affiliation |
Chiba University (Chiba Univ.) |
2nd Author's Name |
Yasukuni Mori |
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Chiba University (Chiba Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-10-13 10:40:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2017-89 |
Volume (vol) |
vol.117 |
Number (no) |
no.238 |
Page |
pp.149-154 |
#Pages |
6 |
Date of Issue |
2017-10-05 (PRMU) |
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