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| Presentation | 2022-06-09 16:25 User-guided Image Colorization by Cellular Neural Network Shungo Saizuka, Yuto Ozeki, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.)  NLP2022-8 CCS2022-8 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Many historically attractive and valuable images are taken as gray-scale images. On the other hand, since color information is a very important element in visual representation, it is difficult for gray-scale images to clearly convey scenes of former days. Therefore, colorization methods have been developed to colorize gray-scale images. Two representative colorization methods are known: an automatic colorization method based on deep learning and a color information diffusion method that diffuses color information specified by a user. Meanwhile, there are no studies on colorization methods utilizing neuro dynamics. Therefore, the authors proposed a colorization method utilizing nonlinear dynamics of cellular neural networks. However, colorization performance for complex region still remained an open issue. In this study, we propose a colorization method that introduces a new color diffusion coefficient to address this problem. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Colorization / Cellular Neural Network / Color Diffusion Template / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 65, NLP2022-8, pp. 36-39, June 2022. | |
| Paper # | NLP2022-8 | |
| Date of Issue | 2022-06-02 (NLP, CCS) | |
| ISSN | 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 | NLP2022-8 CCS2022-8 |
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| Conference Information | |
| Committee | CCS NLP |
| Conference Date | 2022-06-09 - 2022-06-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2022-06-CCS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | User-guided Image Colorization by Cellular Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Colorization |
| Keyword(2) | Cellular Neural Network |
| Keyword(3) | Color Diffusion Template |
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| 1st Author's Name | Shungo Saizuka |
| 1st Author's Affiliation | Chukyo University (Chukyo Univ.) |
| 2nd Author's Name | Yuto Ozeki |
| 2nd Author's Affiliation | Chukyo University (Chukyo Univ.) |
| 3rd Author's Name | Tasuku Kuroda |
| 3rd Author's Affiliation | Chukyo University (Chukyo Univ.) |
| 4th Author's Name | Tsuyoshi Otake |
| 4th Author's Affiliation | Tamagawa University (Tamagawa Univ.) |
| 5th Author's Name | Hisashi Aomori |
| 5th Author's Affiliation | Chukyo University (Chukyo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-06-09 16:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2022-8, CCS2022-8 |
| Volume (vol) | vol.122 |
| Number (no) | no.65(NLP), no.66(CCS) |
| Page | pp.36-39 |
| #Pages | 4 |
| Date of Issue | 2022-06-02 (NLP, CCS) |
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