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Salt-n-pepper Noise Filtering using Cellular Automata.
- Source :
- Journal of Cellular Automata; 2018, Vol. 13 Issue 1/2, p81-101, 21p
- Publication Year :
- 2018
-
Abstract
- Cellular Automata (CA) have been considered one of the most pronounced parallel computational tools in the recent era of nature and bio-inspired computing. Taking advantage of their local connectivity, the simplicity of their design and their inherent parallelism, CA can be effectively applied to many image processing tasks. In this paper, a CA approach for efficient salt-n-pepper noise filtering in grayscale images is presented. Using a 2D Moore neighborhood, the classified "noisy" cells are corrected by averaging the non-noisy neighboring cells. While keeping the computational burden really low, the proposed approach succeeds in removing high-noise levels from various images and yields promising qualitative and quantitative results, compared to state-of-the-art techniques. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15575969
- Volume :
- 13
- Issue :
- 1/2
- Database :
- Complementary Index
- Journal :
- Journal of Cellular Automata
- Publication Type :
- Academic Journal
- Accession number :
- 125112708