Volume 6 Number 2 (Apr. 2014)
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IJCEE 2014 Vol.6 (2): 191-195 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2014.V6.820

Impulse Image Noise Reduction Using Fuzzy-Cellular Automata Method

A. Sargolzaei, K. K Yen, K. Zeng, S. M. A. Motahari, and S. Noei
Abstract—This paper proposes an algorithm to lessen the impacts of variety of distortions occurred in aerial images. The proposed algorithm detects the noisy pixels in a given image using fuzzy logic based technique in an iterative manner, then the noisy image is corrected based on the cellular structure modeling to filter out the noise. Our solution for noise reduction overcomes the difficulties of cellular automaton (CA) model in noise estimation and finds the accurate noisy mask by providing a fuzzy technique. Simulation results of the proposed algorithm show the accuracy and effectiveness of this algorithm for image with high percentage of pepper and salt noise.

Index Terms—Noise reduction, fuzzy logic, cellular automata, aerial images.

The authors are with The Engineering Center, Florida International University, Miami, Fl, 33174, USA (e-mail:a.sargolzaei@gmail.com)

 

Cite:A. Sargolzaei, K. K Yen, K. Zeng, S. M. A. Motahari, and S. Noei, "Impulse Image Noise Reduction Using Fuzzy-Cellular Automata Method," International Journal of Computer and Electrical Engineering vol. 6, no.2, pp. 191-195, 2014.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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