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Salvador Villena Morales
Salvador Villena Morales
Profesor de ETsI informática (UGR)
Verified email at ugr.es
Title
Cited by
Cited by
Year
Bayesian combination of sparse and non-sparse priors in image super resolution
S Villena, M Vega, SD Babacan, R Molina, AK Katsaggelos
Digital Signal Processing 23 (2), 530-541, 2013
1362013
Bayesian super-resolution image reconstruction using an ℓ1 prior
S Villena, M Vega, R Molina, AK Katsaggelos
2009 Proceedings of 6th International Symposium on Image and Signal …, 2009
802009
A non-stationary image prior combination in super-resolution
S Villena, M Vega, R Molina, AK Katsaggelos
Digital Signal Processing 32, 1-10, 2014
372014
Using the Kullback-Leibler divergence to combine image priors in super-resolution image reconstruction
S Villena, M Vega, SD Babacan, R Molina, AK Katsaggelos
2010 IEEE International Conference on Image Processing, 893-896, 2010
282010
Bayesian super-resolution of text image sequences from low resolution observations
FJ Cortijo, S Villena, R Molina, A Katsaggelos
Seventh International Symposium on Signal Processing and Its Applications …, 2003
272003
Compressive sensing super resolution from multiple observations with application to passive millimeter wave images
W AlSaafin, S Villena, M Vega, R Molina, AK Katsaggelos
Digital Signal Processing 50, 180-190, 2016
242016
Estimation of high resolution images and registration parameters from low resolution observations
S Villena, J Abad, R Molina, AK Katsaggelos
Progress in Pattern Recognition, Image Analysis and Applications: 9th …, 2004
102004
Image prior combination in super-resolution image registration & reconstruction
S Villena, M Vega, SD Babacan, R Molina, AK Katsaggelos
2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010
92010
Image prior combination in super-resolution image reconstruction
S Villena, M Vega, R Molina, AK Katsaggelos
2010 18th European Signal Processing Conference, 616-620, 2010
72010
Super–resolution software
S Villena, M Vega, D Babacan, J Mateos, R Molina, AK Katsaggelos
62011
Image super-resolution for outdoor digital forensics. Usability and legal aspects
S Villena, M Vega, J Mateos, D Rosenberg, F Murtagh, R Molina, ...
Computers in industry 98, 34-47, 2018
52018
Pmmw image super resolution from compressed sensing observations
W Saafin, S Villena, M Vega, R Molina, AK Katsaggelos
2015 23rd European Signal Processing Conference (EUSIPCO), 1815-1819, 2015
52015
A general sparse image prior combination in super-resolution
S Villena, M Vega, R Molina, AK Katsaggelos
2013 18th International Conference on Digital Signal Processing (DSP), 1-6, 2013
32013
Parameter estimation in bayesian super-resolution image reconstruction from low resolution rotated and translated images
S Villena, M Vega, R Molina, AK Katsaggelos
Advanced Concepts for Intelligent Vision Systems: 11th International …, 2009
32009
Greedy Bayesian double sparsity dictionary learning
JG Serra, S Villena, R Molina, AK Katsaggelos
2017 IEEE International Conference on Image Processing (ICIP), 1935-1939, 2017
12017
Superresolution software manual
S Villena, M Vega, S Babacan, J Mateos, R Molina, A Katsaggelos, ...
Academic, 2015
12015
Superresolución y reconstrucción bayesiana de imágenes a partir de imágenes de baja resolución rotadas y desplazadas. Combinación de modelos
S Villena Morales
Granada: Universidad de Granada, 2012
2012
DBase III plus: guia para usuarios expertos
E Jones
1989
La potencia de: Lotus 1-2-3, versión 2: aplicaciones de negocios
RE Williams
McGraw-Hill, 1989
1989
Organización de los datos en ficheros: ficheros secuenciales
SV Morales
Universidad de Granada, Centro de Informática, 1987
1987
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