Bayesian parameter estimation in image reconstruction from subsampled blurred observations. Vega, M., Mateos, J., Molina, R., & Katsaggelos, A. In Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), volume 3, pages II–969–72, 2003. IEEE.
Bayesian parameter estimation in image reconstruction from subsampled blurred observations [link]Paper  doi  abstract   bibtex   
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.
@inproceedings{Miguel2003,
abstract = {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.},
author = {Vega, Miguel and Mateos, Javier and Molina, Rafael and Katsaggelos, A.K.},
booktitle = {Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)},
doi = {10.1109/ICIP.2003.1246845},
isbn = {0-7803-7750-8},
pages = {II--969--72},
publisher = {IEEE},
title = {{Bayesian parameter estimation in image reconstruction from subsampled blurred observations}},
url = {http://ieeexplore.ieee.org/document/1246845/},
volume = {3},
year = {2003}
}

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