Distinguishing the Noise and image structures for detecting the correction term and filtering the noise by using fuzzy rules
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 7
Abstract
A fuzzy filter is constructed from a set of fuzzy IF-THEN rules, these fuzzy rules come either from human experts or by matching input-output pairs .in this paper we propose a new fuzzy filter for the noise reduction of images corrupted with additive noise. here in this approach ,initially fuzzy derivatives for all eight directions that is N,E,W,S, NE,NW,SE,SW are calculated using “fuzzy IF-THEN rules “ and membership functions . Further the fuzzy derivative values obtained are used in the fuzzy smoothing for determining the correction term. Finally correction term can be added to the processed pixel value. Iteratively apply the fuzzy filter to reduce the noise and at each and every iteration membership function is calculated based on the remaining noise level. A statistical model for the noise distribution can be incorporated to relate the homogeneity to the adaptation scheme of the membership functions.
Authors and Affiliations
Sridevi. Ravada , Vani prasanna. Kanakala , Ramya. Koilada
Keywords
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- EP ID EP119161
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