Fuzzy colour filtering using relative entropy

Relative entropy (E) has long been used as a distance measure between two sets of sampled data. In this work E is used for filtering of colour images. Local statistical characteristics of the image are estimated by means of Parzen estimators. Two indices for the noise are derived. These indices are associated with membership functions. Filtering of the image is achieved by using a small number of fuzzy rules.