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Paper Abstract and Keywords
Presentation 2025-03-13 16:45
Hierarchical Lossless Compression of Bayer RAW Images Using Predictors Based on Cellular Neural Networks
Ryota Ogawa, Shuichi Tajima, Seiya Kushi (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) MSS2024-80 NLP2024-121
Abstract (in Japanese) (See Japanese page) 
(in English) Digital cameras generally have image sensors with a Bayer-pattern color filter array. The RAW images captured by these image sensors are characterized by each pixel having only one of the RGB luminance values. For this reason, RGB full-color images are generated by demosaicking the RAW image. However, as the color channel of each pixel is tripled by demosaicking, it is essential to compress the RAW image directly from a compression perspective. We propose a hierarchical lossless coding method that uses color difference prediction with a cellular neural network (CNN) as a predictor for the four sub-images (Gr, Gb, R, B) of a RAW image. Here, color difference prediction is achieved by compensating for the misalignment between each sub-image of the RAW image using image interpolation.
Keyword (in Japanese) (See Japanese page) 
(in English) Cellular Neural Network / Hierarchical Lossless Image Coding / Adaptive Arithmetic Coding / Color Difference Prediction / Bayer RAW Images / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 432, NLP2024-121, pp. 69-73, March 2025.
Paper # NLP2024-121 
Date of Issue 2025-03-06 (MSS, NLP) 
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 MSS2024-80 NLP2024-121

Conference Information
Committee NLP MSS  
Conference Date 2025-03-13 - 2025-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima City Central Community Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) MSS, NLP, etc. 
Paper Information
Registration To NLP 
Conference Code 2025-03-NLP-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hierarchical Lossless Compression of Bayer RAW Images Using Predictors Based on Cellular Neural Networks 
Sub Title (in English)  
Keyword(1) Cellular Neural Network  
Keyword(2) Hierarchical Lossless Image Coding  
Keyword(3) Adaptive Arithmetic Coding  
Keyword(4) Color Difference Prediction  
Keyword(5) Bayer RAW Images  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryota Ogawa  
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 Seiya Kushi  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
4th Author's Name Hideharu Toda  
4th Author's Affiliation Tohoku Bunka Gakuen University (Tohoku Bunka Gakuen Univ.)
5th Author's Name Taishi Iriyama  
5th Author's Affiliation Saitama University (Saitama Univ.)
6th Author's Name Tsuyoshi Otake  
6th Author's Affiliation Tamagawa University (Tamagawa Univ.)
7th Author's Name Hisashi Aomori  
7th Author's Affiliation Chukyo University (Chukyo Univ.)
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Speaker Author-1 
Date Time 2025-03-13 16:45:00 
Presentation Time 110 minutes 
Registration for NLP 
Paper # MSS2024-80, NLP2024-121 
Volume (vol) vol.124 
Number (no) no.431(MSS), no.432(NLP) 
Page pp.69-73 
#Pages 5 
Date of Issue 2025-03-06 (MSS, NLP) 

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