Title :
Robust reduced update Kalman filtering
Author :
Çetin, A. Enis ; Tekalp, A. Murat
Author_Institution :
Toronto Univ., Ont., Canada
fDate :
1/1/1990 12:00:00 AM
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;
Journal_Title :
Circuits and Systems, IEEE Transactions on
