Title :
A new interpretation of ROMKF
Author :
Kim, Jung-Ho ; Woods, John W.
Author_Institution :
Dept. of Syst. Eng., Rensselaer Polytech. Inst., Troy, NY
fDate :
4/1/1997 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
