Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations. Villena, S., Abad, J., Molina, R., & Katsaggelos, A. K. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 3287, pages 509–516. 2004.
Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations [link]Paper  doi  abstract   bibtex   
In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images. © Springer-Verlag 2004.
@incollection{Salvador2004,
abstract = {In this paper we consider the problem of reconstructing a high resolution image from a set of undersampled and degraded frames, all of them obtained from high resolution images with unknown shifting displacements between them. We derive an iterative method to estimate the unknown shifts and the high resolution image given the low resolution observations. Finally, the proposed method is tested on real images. {\textcopyright} Springer-Verlag 2004.},
author = {Villena, Salvador and Abad, Javier and Molina, Rafael and Katsaggelos, Aggelos K.},
booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
doi = {10.1007/978-3-540-30463-0_64},
isbn = {3540235272},
issn = {16113349},
pages = {509--516},
title = {{Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations}},
url = {http://link.springer.com/10.1007/978-3-540-30463-0_64},
volume = {3287},
year = {2004}
}

Downloads: 0