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
fDate :
6/1/1989 12:00:00 AM
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;
Journal_Title :
Circuits and Systems, IEEE Transactions on
