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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 1, May 2009

Issue on Computer Science

Page(s): 398-402

Fuzzy Filters to the Reduction of Impulse and Gaussian Noise in Gray and Color Images

S.Arunkumar, Ravi Tej Akula, Rishabh Gupta, M.R.Vimala Devi

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Abstract

Noise removal from a corrupted image is finding vital application in image transmission over the wideband network. Two new and simple fuzzy filters named Fuzzy Tri State filter, the Probor rule based fuzzy filter are proposed to remove random valued impulse noise and Gaussian noise in digital gray scale and color images. The Fuzzy Tri State filter is a non linear filter proposed for preserving the image details while effectively reducing both the types of noises. The Probor filter is sub divided into two sub filters. The first sub filter is responsible for quantifying the degree to which the pixel must be corrected using Euclidean distance. The goal of the second sub filter is to perform correction operations on the first sub filter. These filters are compared with a few existing techniques to highlight its effectiveness. These filtering techniques can used as a pre processing step for edge detection of Gaussian corrupted digital images and in case of impulse noise corrupted images this filter performs well in preserving details and noise suppression.

Index Terms

Random impulse noise, Gaussian Noise, Color images, Probor

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