DocumentCode
1376492
Title
A new interpretation of ROMKF
Author
Kim, Jung-Ho ; Woods, John W.
Author_Institution
Dept. of Syst. Eng., Rensselaer Polytech. Inst., Troy, NY
Volume
6
Issue
4
fYear
1997
fDate
4/1/1997 12:00:00 AM
Firstpage
599
Lastpage
601
Abstract
Both the approximate reduced updated Kalman filter (RUKF) and reduced order model Kalman filter (ROMKP) have been used in image processing for some time. This correspondence shows that the ROMKF can be interpreted as a special case of the approximate RUKF and in so doing, provides a way to estimate a needed error variance input to ROMKF
Keywords
Kalman filters; covariance matrices; filtering theory; image processing; reduced order systems; ROMKF; RUKF; approximate reduced updated Kalman filter; error variance input; image processing; reduced order model Kalman filter; Filtering; Image processing; Image restoration; Kalman filters; Motion estimation; Reduced order systems; State estimation; Systems engineering and theory; Two dimensional displays; Uncertainty;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.563324
Filename
563324
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