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Paper Abstract and Keywords
Presentation 2010-06-18 16:00
Hierarchical Lossless Image Coding Using Cellular Neural Network
Seiya Takenouchi, Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) NLP2010-11 NC2010-11
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, a hierarchical lossless image coding scheme using cellular neural network (CNN) is proposed. The coding architecture of the proposed method is based on the lifting scheme that is one of the scalable coding architecture for still images, and the coding performance strongly depends on the prediction ability. To deal with this characteristic, an image interpolation is modeled by an optimal problem that minimizes the prediction error. By the high optimal ability of CNN, the optimal interpolated image can be obtained. Also, in order to achieve the high accuracy prediction, the parameters of CNN predictors are adjusted to the local structure of the image. In the coding layer, the arithmetic coder with context modeling is used for obtaining a high coding efficiency. Experimental results in various standard test images suggest that the coding performance of our proposed method is better than that of conventional hierarchical coding schemes.
Keyword (in Japanese) (See Japanese page) 
(in English) discrete-time cellular neural network / hierarchical coding / context modeling / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 82, NLP2010-11, pp. 69-73, June 2010.
Paper # NLP2010-11 
Date of Issue 2010-06-11 (NLP, NC) 
ISSN Print edition: ISSN 0913-5685    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 NLP2010-11 NC2010-11

Conference Information
Committee NC NLP IPSJ-BIO  
Conference Date 2010-06-18 - 2010-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning for bio-datamining 
Paper Information
Registration To NLP 
Conference Code 2010-06-NC-NLP-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hierarchical Lossless Image Coding Using Cellular Neural Network 
Sub Title (in English)  
Keyword(1) discrete-time cellular neural network  
Keyword(2) hierarchical coding  
Keyword(3) context modeling  
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1st Author's Name Seiya Takenouchi  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Hisashi Aomori  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Tsuyoshi Otake  
3rd Author's Affiliation Tamagawa University (Tamagawa Univ.)
4th Author's Name Mamoru Tanaka  
4th Author's Affiliation Sophia University (Sophia Univ.)
5th Author's Name Ichiro Matsuda  
5th Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
6th Author's Name Susumu Itoh  
6th Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Speaker Author-1 
Date Time 2010-06-18 16:00:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2010-11, NC2010-11 
Volume (vol) vol.110 
Number (no) no.82(NLP), no.83(NC) 
Page pp.69-73 
#Pages 5 
Date of Issue 2010-06-11 (NLP, NC) 

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