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

fYear

1989

fDate

14-17 Nov 1989

Firstpage

352

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on

Conference_Location

Cambridge, MA

Type

conf

DOI

10.1109/ICSMC.1989.71315

Filename

71315

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2885644