@inproceedings{Javier2003b,
abstract = {This paper deals with the problem of reconstructing a high-resolution image from an incomplete set of undersampled, blurred and noisy images shifted with subpixel displacement. We derive mathematical expressions for the calculation of the maximum a posteriori estimate of the high resolution image and the estimation of the parameters involved in the model. We also examine the role played by the prior model when this incomplete set of low resolution images is used. The performance of the method is tested experimentally. {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.},
author = {Mateos, Javier and Vega, Miguel and Molina, Rafael and Katsaggelos, Aggelos K.},
booktitle = {IbPRIA 2003: Pattern Recognition and Image Analysis},
doi = {10.1007/978-3-540-44871-6_63},
isbn = {3540402179},
issn = {16113349},
pages = {538--546},
title = {{Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images}},
url = {http://link.springer.com/10.1007/978-3-540-44871-6_63},
volume = {2652},
year = {2003}
}

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