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Noise Reduction Method for Image Using Transition-Parameter of Cellular Automata  

Kim, Tai-Suk (동신대학교 컴퓨터소프트웨어공학과)
Lee, Seok-Ki (동의대학교 컴퓨터소프트웨어공학과)
Kwon, Soon-Kak (동의대학교 컴퓨터소프트웨어공학과)
Kwon, Oh-Jun (동의대학교 컴퓨터소프트웨어공학과)
Publication Information
Journal of Korea Multimedia Society / v.13, no.9, 2010 , pp. 1329-1336 More about this Journal
Abstract
Cellular Automata is a discrete dynamical system which natural phenomena may be specified completely in terms of local relation, can increase and decrease the difference of luminance locally according to transition rule by keeping the characteristic of target image. In this paper, we propose a noise reduction method by keeping the characteristic using transition rule of Cellular Automata, also we propose methods of effective transition rule, the selection of parameters, the selection of number of neighborhood pixels. For uniform distribution noise, Gaussian noise, impulse noise, we do an experiment on adaptive state using different mathematical operations and compare its results. It was confirmed that the proposed transition rule is based on fast convergence speed and has stabile results.
Keywords
Cellular Automata; Noise Removal; Transition Rule; Parameter; PSNR; sequential; parallel;
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