NDLI: Noise reduction using genetic algorithm based PCNN method

Content Provider	IEEE Xplore Digital Library
Author	Deng Zhang Mabu, S. Hirasawa, K.
Copyright Year	2010
Description	Author affiliation: Graduate School of Information, Production and Systems, Waseda University, Fukuoka, Japan (Deng Zhang; Mabu, S.; Hirasawa, K.)
Abstract	Pulse Coupled Neural Network (PCNN) has gained widely attention in image noise reduction as a non-linear filtering technique. Conventional PCNN-based methods usually are combined with median filter or step-by-step modifying algorithm. There are mainly two problems. In one hand, such filtering approaches blur the edge when smoothing an image. In the other hand, it is difficult to properly estimate the parameters of PCNN. Consequently, this paper presents an adaptive genetic algorithm based PCNN method (GA-PCNN) to restrain from additive white Gaussian noise (AWGN). Different from conventional PCNN-based methods, GA-PCNN utilizes an anisotropic diffusion filter to replace the median filter and optimizes the parameters of a simplified PCNN by means of adaptive genetic algorithm. Experimental results indicate that GA-PCNN has a better performance than the previous denoising techniques, i.e., median filter, Wiener filter, anisotropic diffusion filter, and the conventional PCNN based methods. Conclusions on the effectiveness of Gaussian noise reduction and edge preservation are carried out finally. Furthermore, the results will contribute de-noising in CMOS image sensors.
Starting Page	2627
Ending Page	2633
File Size	857327
Page Count	7
File Format	PDF
ISBN	9781424465866
ISSN	1062922X
e-ISBN	9781424465880
DOI	10.1109/ICSMC.2010.5641902
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-10
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gallium AWGN Smoothing methods Pulse Coupled Neural Network Additive White Gaussian Noise Genetic Algorithm Noise Reduction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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