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ICASSP
2010
IEEE

Fast total variation image restoration with parameter estimation using bayesian inference

13 years 11 months ago
Fast total variation image restoration with parameter estimation using bayesian inference
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and the hyperparameters for the image and observation models are formulated and estimated simultaneously within a hierachical Bayesian framework, rendering the algorithms fully-automated without any free parameters. Experimental results demonstrate that the proposed algorithms provide restoration results competitive to existing methods in terms of image quality while achieving superior computational efficiency.
Bruno Amizic, S. Derin Babacan, K. Michael Ng, Raf
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where ICASSP
Authors Bruno Amizic, S. Derin Babacan, K. Michael Ng, Rafael Molina, Aggelos K. Katsaggelos
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