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Paper Abstract and Keywords
Presentation 2020-03-16 16:45
Image compression by colorization
Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2019-86
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
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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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  
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 
Date of Issue 2020-03-09 (PRMU) 

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