Title :
A modified reduced update Kalman filter for images degraded by non-Gaussian additive noise
Author :
Wu, Wen-Rong ; Kundu, Amlan
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Amherst, NY, USA
Abstract :
The authors consider the problem of filtering images corrupted by non-Gaussian noise using the Kalman filter. Specifically, they have used the reduced updated Kalman filter (RUKF) for the sake of computational savings. They modified the original RUKF to accommodate the non-Gaussian noise using an efficient scheme proposed by them previously (1989). It is shown that the modification is simple and the results are satisfactory
Keywords :
Kalman filters; filtering and prediction theory; noise; picture processing; additive noise; computational savings; filtering; image processing; modified reduced update Kalman filter; nonGaussian noise; Additive noise; Convolution; Degradation; Filtering; Filters; Gaussian noise; Linear systems; Recursive estimation; White noise; Working environment noise;
Conference_Titel :
Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
Conference_Location :
Cambridge, MA
DOI :
10.1109/ICSMC.1989.71315
