Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior. Stefanos, P B., Nikolaos, P G., Aggelos, K K., Belekos, S. P, Galatsanos, N. P, & Katsaggelos, A. K IEEE Transactions on Image Processing, 19(6):1451–1464, jun, 2008. Paper doi abstract bibtex Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multichannel approach. copyright by EURASIP.
@article{Stefanos2008,
abstract = {Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multichannel approach. copyright by EURASIP.},
author = {Stefanos, P Belekos and Nikolaos, P Galatsanos and Aggelos, K Katsaggelos and Belekos, Stefanos P and Galatsanos, Nikolaos P and Katsaggelos, Aggelos K},
doi = {10.1109/TIP.2010.2042115},
isbn = {22195491 , issue = 6},
issn = {1057-7149},
journal = {IEEE Transactions on Image Processing},
month = {jun},
number = {6},
pages = {1451--1464},
title = {{Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior}},
url = {http://ieeexplore.ieee.org/document/5404316/},
volume = {19},
year = {2008}
}
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