Image modeling using inverse filtering criteria with application to texture images

T. E. Hall, G. B. Giannakis

Research output: Contribution to journalConference articlepeer-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 languageEnglish (US)
Article number413820
Pages (from-to)392-396
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume3
DOIs
StatePublished - Jan 1 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

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