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