@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 = {

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.\ To minimize the impact of the first limiting factor, a small-scale linear inpainting algorithm is proposed to provide smooth SR video frames.\ 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.

}, 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.} }