Non-stationary t-distribution prior for image source separation from blurred observations

Authors:
Koray Kayabol;Ercan E. Kuruoglu
Affiliations:
ISTI, CNR, Pisa, Italy;ISTI, CNR, Pisa, Italy
Venue:
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Year:
2010

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Abstract

We propose a non-stationary spatial image model for the solution of the image separation problem from blurred observations. Our model is defined on first order image differentials. We model the image differentials using t-distribution with space varying scale parameters. This prior image model has been used in the Bayesian formulation and the image source are estimated using a Langevin sampling method. We have tested the proposed model on astrophysical image mixtures and obtained better results regarding stationary model for the maps which have high intensity changes.