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- Title
Salt-n-pepper Noise Filtering using Cellular Automata.
- Authors
TOURTOUNIS, DIMITRIOS; MITIANOUDIS, NIKOLAOS; SIRAKOULIS, GEORGIOS CH.
- 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.
- Subjects
IMAGE denoising; CELLULAR automata; MEDIAN filters (Electronics); PIXELS; RANDOM noise theory
- Publication
Journal of Cellular Automata, 2018, Vol 13, Issue 1/2, p81
- ISSN
1557-5969
- Publication type
Article