Optimal weighted order statistic filters under structural constraints

Abstract

The authors present a procedure based on quadratic programming for finding the optimal weighted order statistic filter under the mean absolute error criterion satisfying imposed structural constraints. In this way, filters are obtained that simultaneously meet the desired detail preservation constraints and give a good noise attenuation. The algorithm is characterized by low computational complexity and simplicity in constraint formulation. The method is capable of handling large window size problems. >