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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Salt and Pepper Noise Reduction Schemes Using Cellular Automata
verfasst von : Deepak Ranjan Nayak, Ratnakar Dash, Banshidhar Majhi
Erschienen in: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics
Verlag: Springer India
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Abstract
Two filters in the light of two-dimensional Cellular Automata (CA) are presented in this paper for salt and pepper noise reduction of an image. The design of a parallel algorithm to remove noise from corrupted images is a demanded approach now, so we utilize the idea of cellular automata to cater this need. The filters are mainly designed according to the neighborhood structure of a cell with different boundary conditions. The performances of the proposed filters with that of existing filters are evaluated in terms of peak signal-to-noise ratio (PSNR) values and it has been observed that the proposed filters are extremely promising for noise reduction of an image contaminated by salt and pepper noise. The primary point of interest in utilizing these proposed filters is; it preserves more image details in expense of noise suppression.