Image modeling using inverse filtering criteria with application to texture images

T. E. Hall; G. B. Giannakis

doi:10.1109/ICIP.1994.413820

Image modeling using inverse filtering criteria with application to texture images

T. E. Hall, G. B. Giannakis

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

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.

Original language	English (US)
Article number	413820
Pages (from-to)	392-396
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	3
DOIs	https://doi.org/10.1109/ICIP.1994.413820
State	Published - 1994
Event	The 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA Duration: Nov 13 1994 → Nov 16 1994

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© 1994 IEEE.

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AU - Giannakis, G. B.

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AB - 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.

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T2 - The 1994 1st IEEE International Conference on Image Processing

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ER -

Image modeling using inverse filtering criteria with application to texture images

Abstract

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