@conference {cSalvador12,
	title = {Variational Reconstruction and Restoration for Video Super-Resolution},
	booktitle = {International Conference on Pattern Recognition (ICPR)},
	year = {2012},
	month = {11-2012},
	address = {Tsukuba, Japan},
	abstract = {<p>This paper presents a variational framework for obtaining super-resolved video-sequences, based on the observation that reconstruction-based Super-Resolution (SR) algorithms are limited by two factors: registration exactitude and Point Spread Function (PSF) estimation accuracy.\&nbsp;To minimize the impact of the first limiting factor, a small-scale linear inpainting algorithm is proposed to provide smooth SR video frames.\&nbsp;To improve the second limiting factor, a fast PSF local estimation and total variation-based denoising is proposed. Experimental results reflect the improvements provided by the proposed method when compared to classic SR approaches.</p>},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=\&arnumber=6460315\&contentType=Conference+Publications\&searchField\%3DSearch_All\%26queryText\%3Dvariational+reconstruction},
	author = {Salvador, J. and Rivero, D. and Kochale, A. and Ruiz-Hidalgo, J.}
}
