Noncausal image modeling using descriptor approach
Date
1995
Authors
Azimi-Sadjadi, Mahmood R., author
Hasan, Mohammed A., author
IEEE, publisher
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Abstract
The problems of noncausal image modeling and subsequent image estimation are considered in this brief. The noncausal vector autoregressive (AR) model for the image process is arranged into a descriptor system. This system is then decomposed into backward and forward stable subsystems. The resulting subsystems are utilized to derive a Kalman filter by solving some types of discrete time algebraic Lyapunov equations. A numerical example for noncausal image modeling is also presented.
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Subject
autoregressive processes
Lyapunov matrix equations
Kalman filters
filtering theory
image processing