DocumentCode
812686
Title
Robust reduced update Kalman filtering
Author
Çetin, A. Enis ; Tekalp, A. Murat
Author_Institution
Toronto Univ., Ont., Canada
Volume
37
Issue
1
fYear
1990
fDate
1/1/1990 12:00:00 AM
Firstpage
155
Lastpage
156
Abstract
A robust version of the two-dimensional reduced-update Kalman filter (RUKF) is presented. The robust RUKF (RRUKF) can be used for restoring images corrupted by noise whose distribution deviates from the Gaussian distribution. It was observed experimentally that when the image is corrupted by `salt and pepper´ type noise, the RRUKF, which is an extension of the RUKF, produces significantly better results than the RUKF, as expected
Keywords
Kalman filters; filtering and prediction theory; picture processing; 2D filter; Kalman filtering; image restoration; noise corrupted image; reduced update; robust version; salt/pepper type noise; two-dimensional type; Filtering; Gaussian distribution; Gaussian noise; Image restoration; Kalman filters; Noise robustness; Parameter estimation; Signal processing; Signal restoration; Statistics;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.45708
Filename
45708
Link To Document