DocumentCode
786932
Title
Robust modeling for image restoration using a modified reduced update Kalman filter
Author
Belaifa, Hosni B H ; Schwartz, Howard M.
Author_Institution
Carleton Univ., Ottawa, Ont., Canada
Volume
40
Issue
10
fYear
1992
fDate
10/1/1992 12:00:00 AM
Firstpage
2584
Lastpage
2588
Abstract
An algorithm to estimate the original image intensity from a degraded image is developed. The degradation phenomena is a Gaussian noise contaminated by an outlier sequence. The proposed algorithm is a combination of the robust algorithm proposed by Kashyap and Eom (1988) and the reduced update Kalman filter (RUKF) developed by Woods and Radewan (1977). The proposed algorithm is compared to some commonly used techniques such as the median filter, the robust algorithm, and the RUKF
Keywords
Kalman filters; digital filters; image reconstruction; Gaussian noise; image intensity; image restoration; median filter; modified reduced update Kalman filter; outlier sequence; robust algorithm; robust modeling; Degradation; Filters; Gaussian noise; Image restoration; Iterative algorithms; Least squares approximation; Noise robustness; Parameter estimation; Pixel; Signal processing algorithms;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.157298
Filename
157298
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