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Image modeling using inverse filtering criteria with application to texture images

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2 Author(s)
T. E. Hall ; Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA ; G. B. Giannakis

Higher-than second-order statistics are used in the paper to derive and implement two classes of inverse filtering criteria for consistent parameter estimation of asymmetric noncausal ARMA image models with known orders. Contrary to existing approaches, FIR inverse filters are employed and as a result image models with zeros on the unit bi-circle can be handled. The performance of these parameter estimators is evaluated with Monte Carlo simulations and texture classification experiments

Published in:

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference  (Volume:3 )

Date of Conference:

13-16 Nov 1994