DocumentCode
1442615
Title
New results in strip Kalman filtering
Author
Azimi-Sadjadi, Mahmood R.
Author_Institution
Dept. of Electr. Eng., Colorado State Univ., Ft. Collins, CO, USA
Volume
36
Issue
6
fYear
1989
fDate
6/1/1989 12:00:00 AM
Firstpage
893
Lastpage
897
Abstract
The strip Kalman filtering previously proposed by B.R. Suresh and B.A. Shenoi (ibid, vol.CAS-28, no.4, p.307-19, 1981) for image restoration is reconsidered. It is pointed out that the procedure given there for parameter estimation of the image model does not take into account the vector nature of the image process and as a result can lead to incorrect identification. It is also shown that for the composite dynamic model derived there the standard Kalman filtering equation cannot be applied, as the blur states in this model should be estimated one step ahead
Keywords
Kalman filters; filtering and prediction theory; parameter estimation; picture processing; blur states; composite dynamic model; identification; image model; image restoration; one-step prediction; parameter estimation; picture processing; strip Kalman filtering; vector AR model; Bandwidth; Circuits and systems; Delay lines; Digital signal processing; Filtering; Finite impulse response filter; Frequency response; Kalman filters; Minimax techniques; Strips;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.90412
Filename
90412
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