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| Presentation | 2020-03-16 16:45 Image compression by colorization Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo)  PRMU2019-86 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Image compression techniques exploit the inherent psycho-visual limitations in human vision to reduce the number of bits required to store an image without degrading its perceptual quality. While most recent methods use an encoder-decoder based Convolutional Neural Networks (CNN) features, our approach focuses on limiting the size of the compressed representation by sampling and storing some color informative pixels of the chrominance channels. We propose a uniform sampler-based encoder, that chooses and stores only a few color informative pixels. During decoding, we use these color values from a few selected pixels along with the luminance channel to reconstruct the full-color image that looks perceptually similar to the original image. Experimental results prove the effectiveness of the proposed method by demonstrating comparable or better performance compared to the state-of-the-art methods in image compression. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Lossy image compression / Colorization / Deep neural networks / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 481, PRMU2019-86, pp. 107-108, March 2020. | |
| Paper # | PRMU2019-86 | |
| Date of Issue | 2020-03-09 (PRMU) | |
| 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 | PRMU2019-86 |
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| Conference Information | |
| Committee | PRMU IPSJ-CVIM |
| Conference Date | 2020-03-16 - 2020-03-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2020-03-PRMU-CVIM |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image compression by colorization |
| Sub Title (in English) | |
| Keyword(1) | Lossy image compression |
| Keyword(2) | Colorization |
| Keyword(3) | Deep neural networks |
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| 1st Author's Name | Hiya Roy |
| 1st Author's Affiliation | The University of Tokyo (UTokyo) |
| 2nd Author's Name | Subhajit Chaudhury |
| 2nd Author's Affiliation | The University of Tokyo (UTokyo) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | The University of Tokyo (UTokyo) |
| 4th Author's Name | Tatsuaki Hashimoto |
| 4th Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2020-03-16 16:45:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2019-86 |
| Volume (vol) | vol.119 |
| Number (no) | no.481 |
| Page | pp.107-108 |
| #Pages | 2 |
| Date of Issue | 2020-03-09 (PRMU) |
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