An Effective Filtering Algorithm for Image Salt-Pepper Noises Based on Cellular Automata
Image and Signal Processing, 2008. CISP '08. Congress(2008)
Abstract
For filtering image salt-pepper noises, a novel denoising algorithm based on cellular automata is proposed. First, the concept of cellular automata is introduced, then according to the salt-pepper noises' feature, local transition function based on moore neighborhood is designed for denoising, finally, the denoising effect is evaluated by hamming distance. Compared with classical median filtering, the experimental results show that the new algorithm has better denoising effects, especially when noises density is bigger than 0.4, its hamming distance is 30% lower than that of classical algorithm.
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Key words
classical algorithm,classical median,new algorithm,cellular automata,local transition,effective filtering algorithm,cellular automaton,image salt-pepper noise,salt-pepper noise,noises density,denoising effect,image salt-pepper,image processing,algorithm design and analysis,computer applications,adaptive filters,additives,filtering,signal processing,computer languages,field programmable gate arrays,hamming distance,computational modeling,iterative algorithm,median filter,switches,iterative methods,mathematics,power transmission lines,pixel,classification algorithms,automata,noise,degradation,noise reduction,pipelines,shape,mathematical model
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