On the distance function approach to color image enhancement Original Research Article

A new class of image processing filters is introduced and analyzed in this paper. The new filters utilize fuzzy measures applied to image pixels connected by digital paths. The performance of the proposed filters is compared to the performance of commonly used filters, such as the vector median, under a variety of performance criteria. It is shown that the proposed filters are better able to suppress impulsive and Gaussian noise than the existing techniques. Also, they are robust to inaccuracies in parameter settings.