Title :
Image modeling using inverse filtering criteria with application to texture images
Author :
Hall, Thomas E. ; Giannakis, Georgios B.
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
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
Keywords :
FIR filters; Monte Carlo methods; autoregressive moving average processes; digital filters; higher order statistics; image classification; image texture; inverse problems; parameter estimation; poles and zeros; FIR inverse filters; Monte Carlo simulations; asymmetric noncausal ARMA image models; image modeling; inverse filtering criteria; parameter estimation; texture classification experiments; texture images; unit bi-circle; zeros; Electronic mail; Filtering; Finite impulse response filter; Image processing; Image representation; Inverse problems; Parameter estimation; Phase estimation; Random processes; Statistics;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413820
