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Rafael Molina
Rafael Molina
Professor of Computer Science, University of Granada
Verified email at decsai.ugr.es - Homepage
Title
Cited by
Cited by
Year
Bayesian compressive sensing using Laplace priors
SD Babacan, R Molina, AK Katsaggelos
IEEE Transactions on image processing 19 (1), 53-63, 2009
9482009
Using deep neural networks for inverse problems in imaging: beyond analytical methods
A Lucas, M Iliadis, R Molina, AK Katsaggelos
IEEE Signal Processing Magazine 35 (1), 20-36, 2018
6472018
A survey of classical methods and new trends in pansharpening of multispectral images
I Amro, J Mateos, M Vega, R Molina, AK Katsaggelos
EURASIP Journal on Advances in Signal Processing 2011, 1-22, 2011
3652011
Sparse Bayesian methods for low-rank matrix estimation
SD Babacan, M Luessi, R Molina, AK Katsaggelos
IEEE Transactions on Signal Processing 60 (8), 3964-3977, 2012
3362012
Variational Bayesian super resolution
SD Babacan, R Molina, AK Katsaggelos
IEEE Transactions on Image Processing 20 (4), 984-999, 2010
3362010
Blind deconvolution using a variational approach to parameter, image, and blur estimation
R Molina, J Mateos, AK Katsaggelos
IEEE Transactions on Image Processing 15 (12), 3715-3727, 2006
2952006
Variational Bayesian blind deconvolution using a total variation prior
SD Babacan, R Molina, AK Katsaggelos
IEEE Transactions on Image Processing 18 (1), 12-26, 2008
2912008
Bayesian and regularization methods for hyperparameter estimation in image restoration
R Molina, AK Katsaggelos, J Mateos
IEEE transactions on image processing 8 (2), 231-246, 1999
2821999
Super resolution of images and video
AK Katsaggelos, R Molina, J Mateos
Morgan & Claypool Publishers, 2007
2542007
Generative adversarial networks and perceptual losses for video super-resolution
A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos
IEEE Transactions on Image Processing 28 (7), 3312-3327, 2019
2492019
Bayesian blind deconvolution with general sparse image priors
SD Babacan, R Molina, MN Do, AK Katsaggelos
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
2322012
Parameter estimation in TV image restoration using variational distribution approximation
SD Babacan, R Molina, AK Katsaggelos
IEEE transactions on image processing 17 (3), 326-339, 2008
2302008
Image restoration in astronomy: a Bayesian perspective
R Molina, J Núñez, FJ Cortijo, J Mateos
IEEE Signal Processing Magazine 18 (2), 11-29, 2001
2052001
Bayesian resolution enhancement of compressed video
CA Segall, AK Katsaggelos, R Molina, J Mateos
IEEE Transactions on image processing 13 (7), 898-911, 2004
1832004
High-resolution images from low-resolution compressed video
CA Segall, R Molina, AK Katsaggelos
IEEE Signal Processing Magazine 20 (3), 37-48, 2003
1792003
Variational Bayesian image restoration with a product of spatially weighted total variation image priors
G Chantas, NP Galatsanos, R Molina, AK Katsaggelos
IEEE transactions on image processing 19 (2), 351-362, 2009
1712009
Audiovisual fusion: Challenges and new approaches
AK Katsaggelos, S Bahaadini, R Molina
Proceedings of the IEEE 103 (9), 1635-1653, 2015
1482015
On the hierarchical Bayesian approach to image restoration: applications to astronomical images
R Molina
IEEE Transactions on Pattern Analysis and Machine Intelligence 16 (11), 1122 …, 1994
1441994
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
1402013
Total variation super resolution using a variational approach
SD Babacan, R Molina, AK Katsaggelos
2008 15th IEEE International Conference on Image Processing, 641-644, 2008
1382008
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