Abstract
In this paper, seven fuzzy filters for noise reduction in images are introduced. Each of these fuzzy filters applies a weighted membership function to an image within a window to determine the center pixel, and is easy and fast to implement. Simulation results on the filtering performance of these seven fuzzy filters, the standard median filter (MED), and the standard moving average filter (MAV) on images contaminated with low, medium and high impulse and random noise are presented. Results indicate that these seven fuzzy filters achieve varying success in noise reduction in images as compared to the MED and MAV filters.
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