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| Presentation | 2018-06-15 17:10 Image Demosaicking via Chrominance Images with Convolutional Neural Networks Takuro Yamaguchi, Masaaki Ikehara (Keio Univ.)  CAS2018-35 VLD2018-38 SIP2018-55 MSS2018-35 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Demosaicking is play a vital role in image processing. Many conventional demosaicking methods are based on hand-crafted filters. However, the filters yield some errors in edge regions or texture regions. In this paper, we propose a CNN-based demosaicking method. CNN leads to high accuracy in many field, however, there are few methods in demosaicking field. We use the Bayer image without any interpolation as input and chrominance images as output. Besides, we prepare four networks classified the centered pixel of a local region in Bayer images. Experimental results show our CNN-based approach produces high quality restored image. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Demosaicking / Convolution Neural Network (CNN) / Color Filter Array (CFA) / Deep Learning / Learning based / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 84, SIP2018-55, pp. 185-190, June 2018. | |
| Paper # | SIP2018-55 | |
| Date of Issue | 2018-06-07 (CAS, VLD, SIP, MSS) | |
| 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 | CAS2018-35 VLD2018-38 SIP2018-55 MSS2018-35 |
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| Conference Information | |
| Committee | CAS SIP MSS VLD |
| Conference Date | 2018-06-14 - 2018-06-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System and Signal Processing, etc |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2018-06-CAS-SIP-MSS-VLD |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image Demosaicking via Chrominance Images with Convolutional Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | Demosaicking |
| Keyword(2) | Convolution Neural Network (CNN) |
| Keyword(3) | Color Filter Array (CFA) |
| Keyword(4) | Deep Learning |
| Keyword(5) | Learning based |
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| 1st Author's Name | Takuro Yamaguchi |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Masaaki Ikehara |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-06-15 17:10:00 |
| Presentation Time | 20 minutes |
| Registration for | SIP |
| Paper # | CAS2018-35, VLD2018-38, SIP2018-55, MSS2018-35 |
| Volume (vol) | vol.118 |
| Number (no) | no.82(CAS), no.83(VLD), no.84(SIP), no.85(MSS) |
| Page | pp.185-190 |
| #Pages | 6 |
| Date of Issue | 2018-06-07 (CAS, VLD, SIP, MSS) |
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