Fuzzy Based Median Filtering for Removal of Salt-and-Pepper Noise
Bhavana Deshpande1, H.K. Verma2, Prachi Deshpande3
1Bhavana Deshpande, Department of Mathematics, Govt. Arts & Science P.G. College, Ratlam (M.P.), India.
2Harish Kumar Verma, Electrical Department, S.G.S.I.T.S., Indore (M.P.), India.
3Prachi Deshpande, Electrical Department, S.G.S.I.T.S., Indore (M.P.), India.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 76-80 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0699052312 /2012©BEIESP
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© The Authors. Published By: 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: This paper presents a filter for restoration of images that are highly corrupted by salt and pepper noise. By incorporating fuzzy logic after detecting and correcting the noisy pixel, the proposed filter is able to suppress noise and preserve details across a wide range of salt and pepper noise corruption, ranging from 1% to 60%. The proposed filter is tested on different images and is found to produce better results than the Traditional Median Filter
Keywords: Salt-and-pepper noise, Median Filter, Fuzzy reasoning.