DocumentCode :
2020939
Title :
Optimal weighted order statistic filters under the mean absolute error criterion
Author :
Yin, Lin ; Astola, Jaakko ; Neuvo, Yrjö
Author_Institution :
Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
2529
Abstract :
Based on the relationship between weighted order statistic (WOS) filters and threshold logic, an algorithm is developed for determining optimal WOS filters under the mean absolute error (MAE) criterion. This algorithm requires much less computation than the adaptive stack filtering algorithm. In addition, experimental results in image restoration demonstrate that the WOS filters obtained by the proposed algorithm can even give better results than the adaptive stack filters
Keywords :
digital filters; filtering and prediction theory; optimisation; picture processing; algorithm; image restoration; mean absolute error; optimal filters; threshold logic; weighted order statistic filters; Adaptive filters; Error analysis; Filtering algorithms; Filtering theory; Finite impulse response filter; Image restoration; Logic; Nonlinear filters; Signal processing; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150916
Filename :
150916
Link To Document :
بازگشت