An Optimal Design of Fuzzy (m, n) Rank Order Filtering with Hard Decision Neural Learning

Fuzzy set theory and rank order filtering technique are employed to develop a fuzzy ( m , n) rank order filter. The representation of this new filter is very simple and compact in contrast to the representation of medianrelated filters. Based on this simple representation, an efficient neural learning algorithm is proposed to achieve the optimal filter design for the image restoration. Our result of image restoration is extremely well in comparison with the median filtering.