Salt & Pepper Noise Reduction using Cellular Automata
Jasmeena Tariq1, A.Kumaravel2
1Jasmeena Tariq, research scholar Computer Applications, Bharath Institute of Higher Education and Research, Chennai, India.
2Dr Kumaravel, Professor and Dean, School of Computing, Bharath University, Chennai, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5937-5939 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9004118419/2019©BEIESP | DOI: 10.35940/ijrte.D9004.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In order to reduce salt & pepper noise in an MRI image of brain, in this paper we make algorithm using 2-dimensional Cellular Automata (CA). Image processing with CA has improved digital image processing in several years. Salt & Pepper noise can corrupt a picture via image transmission (atmospheric disturbance) or faulty sensors in camera or a computer system through hardware.
Keywords: Salt & Pepper Noise, Median Filter, Matlab, Cellular Automata, Periodic Boundary, Noise Density.
Scope of the Article: Microwave Filter.