Nonlinear fuzzy filters: An overview

Emergent techniques based on Fuzzy Logic have successfully entered the area of nonlinear filters. Indeed, a variety of methods have been recently proposed in the literature which are able to perform detail-preserving smoothing of noisy image data yielding better results than classical operators. The aim of this paper is to present a selection of the most significant contributions in this field focussing on their similarities and differences. A brief introduction to the theory of fuzzy sets and systems is presented in order to make these results available to non-fuzzy researchers too.