An improved Kronecker Ll filtering algorithm

An improved adaptive Kronecker Ll filtering algorithm for estimating the optimal Kronecker lL filters under the mean square error criterion is derived. Besides suppressing impulsive noise, the adaptive Kronecker Ll filters preserve signal details, such as edges, more effectively than the traditional ones. Simulation results on image processing are provided to demonstrate the performance of the Kronecker Ll filters.<>