DMCA
A majorization-minimization approach to total variation reconstruction of super-resolved images (2008)
| Venue: | in 16th European Signal Processing Conf |
| Citations: | 3 - 0 self |
BibTeX
@INPROCEEDINGS{Galatsanos08amajorization-minimization,
author = {Nikolaos Galatsanos},
title = {A majorization-minimization approach to total variation reconstruction of super-resolved images},
booktitle = {in 16th European Signal Processing Conf},
year = {2008}
}
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Abstract
Super-resolution is the task of reconstructing high-resolution images from shifted, rotated, low-resolution degraded obser-vations. It can be formulated as an inverse problem for which regularization is necessary. In this paper we adopt this for-mulation and use the Total-Variation criterion for regulariza-tion. Then, we employ the Majorization-Minimization (MM) methodology to reconstuct high-resolution images from low-resolution observations. Experimental results are shown, which demonstrate the advantages of the proposed algorithm compared to other methods. 1.
