DocumentCode :
3009124
Title :
A parallel identification procedure for images with noncausal symmetric blurs
Author :
Biemond, J. ; Van der Putten, F.G. ; Woods, J.W.
Author_Institution :
Delft University of Technology, Delft, Netherlands
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
1489
Lastpage :
1492
Abstract :
In this paper a parallel scheme is presented for the identification of two-dimensional noncausal image blurs. It is shown that the blur identification problem can be specified as a parallel set of one-dimensional complex autoregressive moving average (ARMA) identification problems. By expressing the ARMA models as equivalent infinite-order auto-regressive (AR) models, an entirely linear estimation procedure can be followed yielding minimum phase solutions. Further, it will be shown that under certain conditions (blur symmetry) it is possible to reconstruct a useful noncausal set of MA (blur) parameters from the identified minimum-phase set. Several identification results are given as examples.
Keywords :
Additive noise; Colored noise; Degradation; Frequency; Image reconstruction; Image restoration; Information analysis; Information theory; Kalman filters; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1169232
Filename :
1169232
Link To Document :
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