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Paper Abstract and Keywords
Presentation 2008-01-25 16:30
[Poster Presentation] Noise Reduction of CMOS Image Sensor by Cellular Neural Networks using Genetic Learning
Jegoon Ryu, Toshihiro Nishimura (Waseda Univ.) MBE2007-103
Abstract (in Japanese) (See Japanese page) 
(in English) In the image processing field, cellular neural networks (CNNs) have the merits of a high-speed parallel signal processing. In this paper, a single layer cellular neural networks using genetic algorithm (GA-CNN) is designed for CMOS image noise reduction. First, a method for designing templates of cellular neural network is based on genetic algorithm. These templates of CNNs are optimized to suppress photon shot noise in polluted image. We found from the simulation that the GA-CNN efficiently behave compared to the other noise reduction method. We also utilized genetic algorithm to get the correct form of template. The results of computer simulation show the effectiveness of the new approach. Furthermore, this result also shows that we can design CNNs template for many different questions based on statistical image model.
Keyword (in Japanese) (See Japanese page) 
(in English) CMOS Image Sensor / Noise Reduction / Cellular Neural Network / Genetic Algorithm / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 460, MBE2007-103, pp. 95-98, Jan. 2008.
Paper # MBE2007-103 
Date of Issue 2008-01-18 (MBE) 
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)
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Conference Information
Committee MBE  
Conference Date 2008-01-25 - 2008-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2008-01-MBE 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Noise Reduction of CMOS Image Sensor by Cellular Neural Networks using Genetic Learning 
Sub Title (in English)  
Keyword(1) CMOS Image Sensor  
Keyword(2) Noise Reduction  
Keyword(3) Cellular Neural Network  
Keyword(4) Genetic Algorithm  
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1st Author's Name Jegoon Ryu  
1st Author's Affiliation Wased University (Waseda Univ.)
2nd Author's Name Toshihiro Nishimura  
2nd Author's Affiliation Wased University (Waseda Univ.)
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Speaker Author-1 
Date Time 2008-01-25 16:30:00 
Presentation Time 5 minutes 
Registration for MBE 
Paper # MBE2007-103 
Volume (vol) vol.107 
Number (no) no.460 
Page pp.95-98 
#Pages 4 
Date of Issue 2008-01-18 (MBE) 

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