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Noncausal image modeling using descriptor approach

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2 Author(s)
Hasan, M.A. ; Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA ; Azimi-Sadjadi, M.R.

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

Published in:

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:42 ,  Issue: 8 )

Date of Publication:

Aug 1995

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