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ICIP
2003
IEEE

Bayesian parameter estimation in image reconstruction from subsampled blurred observations

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Bayesian parameter estimation in image reconstruction from subsampled blurred observations
In this paper we consider the estimation of the unknown hyperparameters for the problem of reconstructing a high-resolution image from multiple undersampled, shifted, blurred and degraded frames with subpixel displacement errors. We derive mathematical expressions for the iterative calculation of the maximum likelihood estimate (mle) of the unknown hyperparameters given the low resolution observed images. Finally, the proposed method is tested on a synthetic image.
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
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