Title :
Modeling and recursive state estimation for two-dimensional noncausal filters with applications in image restoration
Author :
Lele, Surendra G. ; Mendel, Jerry M.
fDate :
12/1/1987 12:00:00 AM
Abstract :
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.
Keywords :
Causality; DSP; Deconvolution; Digital signal processing (DSP); Image restoration; Multidimensional digital filters; Recursive digital filters; State estimation; Degradation; Filters; Image restoration; Information filtering; Pulse measurements; Quadratic programming; Radar signal processing; Recursive estimation; Signal processing algorithms; State estimation;
Journal_Title :
Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TCS.1987.1086089