Title :
An improved Kronecker Ll filtering algorithm
Author :
Liu, In ; Astola, Jaakko ; Neuvo, Yrjö
Author_Institution :
Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
Abstract :
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.<>
Keywords :
adaptive filters; filtering and prediction theory; picture processing; Kronecker Ll filtering algorithm; adaptive filters; image processing; impulsive noise suppression; mean square error criterion; Adaptive filters; Filtering; Image processing;
Conference_Titel :
Systems Engineering, 1991., IEEE International Conference on
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0173-0
DOI :
10.1109/ICSYSE.1991.161101
