A fuzzy impulse noise detection and reduction algorithm
Yang Xing-ben · Journal of Hubei Normal University · 2007
Removing or reducing impulse noise is a very active research area in image processing.In this paper we describe a new algorithm that is especially developed for reducing all kinds of impulse noise: fuzzy impulse noise detection and reduction method.This nonlinear filtering technique contains two steps: an impulse noise detection step and a reduction step that preserves edge sharpness.Based on the concept of fuzzy gradient values,our detection method constructs a fuzzy set impulse noise.This fuzzy set is represented by a membership function that will be used by the filtering method,which is a fuzzy averaging of neighboring pixels.Experimental results show that it is not only very fast,but also very effective for reducing little as well as very high impulse noise.