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Modeling and recursive state estimation for two-dimensional noncausal filters with applications in image restoration

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2 Author(s)

Noncausal blurring filters are frequently encountered in applications of 2-D signal processing. In this paper we obtain low-order, equivalent, quarter-plane (QP) causal Roesser separable in denominator state-space models for such noncausal blurring filters. We utilize the equivalent QP causal models to develop a minimum-variance deconvolution (MVD) algorithm, which can be used in image restoration and other 2-D MVD problems.

Published in:

Circuits and Systems, IEEE Transactions on  (Volume:34 ,  Issue: 12 )

Date of Publication:

Dec 1987

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