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Paper Abstract and Keywords
Presentation 2024-10-17 11:40
Hierarchical lossless RGB color image coding by CNN predictors with color difference prediction
Yoshiki Nimi, Shuichi Tajima (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) CAS2024-33 NLP2024-63
Abstract (in Japanese) (See Japanese page) 
(in English) We are developing a hierarchical lossless image coding scheme using cellular neural networks (CNNs) as image predictors. This scheme employs CNNs to predict divided images and adaptive arithmetic coding of the prediction errors using multiple probabilistic models.CNNs are inherently only capable of predicting a single color channel, making it challenging to apply them to coding RGB color images. Therefore, our conventional methods improve coding efficiency by converting RGB color to YCoCg-R color space. On the other hand, it is essential to use the inter-channel correlation of RGB color images for further performance improvement. For a fundamental RGB color image coding study, we propose a hierarchical lossless RGB image coding method using color difference prediction in this study. The proposed method achieves high image prediction performance by generating R--G and B--G color difference images using the coded G channel image and adaptively switching the predictor according to the contour direction of the color difference image as the prediction target.
Keyword (in Japanese) (See Japanese page) 
(in English) Cellular Neural Network / Hierarchical Lossless Image Coding / Color Difference Prediction / Adaptive Arithmetic Coding / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 208, NLP2024-63, pp. 33-38, Oct. 2024.
Paper # NLP2024-63 
Date of Issue 2024-10-10 (CAS, NLP) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 CAS2024-33 NLP2024-63

Conference Information
Committee NLP CAS  
Conference Date 2024-10-17 - 2024-10-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Information Center, Tottori University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nonlinear Problems, Circuits and Systems, etc. 
Paper Information
Registration To NLP 
Conference Code 2024-10-NLP-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hierarchical lossless RGB color image coding by CNN predictors with color difference prediction 
Sub Title (in English)  
Keyword(1) Cellular Neural Network  
Keyword(2) Hierarchical Lossless Image Coding  
Keyword(3) Color Difference Prediction  
Keyword(4) Adaptive Arithmetic Coding  
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1st Author's Name Yoshiki Nimi  
1st Author's Affiliation Chukyo University (Chukyo Univ.)
2nd Author's Name Shuichi Tajima  
2nd Author's Affiliation Chukyo University (Chukyo Univ.)
3rd Author's Name Hideharu Toda  
3rd Author's Affiliation Tohoku Bunka Gakuen University (Tohoku Bunka Gakuen 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 2024-10-17 11:40:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # CAS2024-33, NLP2024-63 
Volume (vol) vol.124 
Number (no) no.207(CAS), no.208(NLP) 
Page pp.33-38 
#Pages 6 
Date of Issue 2024-10-10 (CAS, NLP) 

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