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| Presentation | 2016-05-19 13:00 FPGA Implementation of a Super-Resolution System Taito Manabe, Yuichiro Shibata, Kiyoshi Oguri (Nagasaki Univ.)  RECONF2016-5 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we implement a real-time super-resolution system for moving images using a convolutional neural network on an FPGA, and evaluate its performance. Instead of pre-enlargement proposed in related works, we apply horizontal and/or vertical flips to network input images. This method prevents them from losing information, which enables super-resolution whose quality is superior to the system using pre-enlargement, even though the network scale and the size of filters are limited due to resource restriction of the FPGA. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Super Resolution / Moving Images / Real-time / FPGA / Convolutional Neural Network / Deep Learning / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 53, RECONF2016-5, pp. 17-22, May 2016. | |
| Paper # | RECONF2016-5 | |
| Date of Issue | 2016-05-12 (RECONF) | |
| 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 | RECONF2016-5 |
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| Conference Information | |
| Committee | RECONF |
| Conference Date | 2016-05-19 - 2016-05-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | FUJITSU LAB. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Reconfigurable Systems, etc. |
| Paper Information | |
| Registration To | RECONF |
| Conference Code | 2016-05-RECONF |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | FPGA Implementation of a Super-Resolution System |
| Sub Title (in English) | |
| Keyword(1) | Super Resolution |
| Keyword(2) | Moving Images |
| Keyword(3) | Real-time |
| Keyword(4) | FPGA |
| Keyword(5) | Convolutional Neural Network |
| Keyword(6) | Deep Learning |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Taito Manabe |
| 1st Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
| 2nd Author's Name | Yuichiro Shibata |
| 2nd Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
| 3rd Author's Name | Kiyoshi Oguri |
| 3rd Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-05-19 13:00:00 |
| Presentation Time | 20 minutes |
| Registration for | RECONF |
| Paper # | RECONF2016-5 |
| Volume (vol) | vol.116 |
| Number (no) | no.53 |
| Page | pp.17-22 |
| #Pages | 6 |
| Date of Issue | 2016-05-12 (RECONF) |
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