| 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 | 354 | 2011 |
| 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 | 293 | 2006 |
| 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 | 279 | 1999 |
| Super resolution of images and video AK Katsaggelos, R Molina, J Mateos Morgan & Claypool Publishers, 2007 | 252 | 2007 |
| Image restoration in astronomy: a Bayesian perspective R Molina, J Núñez, FJ Cortijo, J Mateos IEEE Signal Processing Magazine 18 (2), 11-29, 2001 | 205 | 2001 |
| Bayesian resolution enhancement of compressed video CA Segall, AK Katsaggelos, R Molina, J Mateos IEEE Transactions on image processing 13 (7), 898-911, 2004 | 182 | 2004 |
| Bayesian multichannel image restoration using compound Gauss-Markov random fields R Molina, J Mateos, AK Katsaggelos, M Vega IEEE Transactions on Image Processing 12 (12), 1642-1654, 2003 | 88 | 2003 |
| Variational Bayesian blind image deconvolution: A review P Ruiz, X Zhou, J Mateos, R Molina, AK Katsaggelos Digital Signal Processing 47, 116-127, 2015 | 84 | 2015 |
| Variational posterior distribution approximation in Bayesian super resolution reconstruction of multispectral images R Molina, M Vega, J Mateos, AK Katsaggelos Applied and Computational Harmonic Analysis 24 (2), 251-267, 2008 | 76 | 2008 |
| Hyperparameter estimation in image restoration problems with partially known blurs NP Galatsanos, VZ Mesarovic, R Molina, AK Katsaggelos, J Mateos Optical Engineering 41 (8), 1845-1854, 2002 | 69 | 2002 |
| Bayesian active remote sensing image classification P Ruiz, J Mateos, G Camps-Valls, R Molina, AK Katsaggelos Geoscience and Remote Sensing, IEEE Transactions on 52 (4), 2186 - 2196, 2014 | 64 | 2014 |
| A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts J Mateos, AK Katsaggelos, R Molina IEEE Transactions on Image Processing 9 (7), 1200-1215, 2000 | 59 | 2000 |
| Bayesian high-resolution reconstruction of low-resolution compressed video CA Segall, R Molina, AK Katsaggelos, J Mateos Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001 | 50 | 2001 |
| A Bayesian approach to blind deconvolution based on Dirichlet distributions R Molina, AK Katsaggelos, J Abad, J Mateos 1997 IEEE international conference on acoustics, speech, and signal …, 1997 | 45 | 1997 |
| Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss–Markov random fields R Molina, AK Katsaggelos, J Mateos, A Hermoso, CA Segall Pattern Recognition 33 (4), 555-571, 2000 | 44 | 2000 |
| Variational Dirichlet blur kernel estimation X Zhou, J Mateos, F Zhou, R Molina, AK Katsaggelos IEEE Transactions on Image Processing 24 (12), 5127-5139, 2015 | 36 | 2015 |
| Toward a new video compression scheme using super-resolution R Molina, AK Katsaggelos, LD Alvarez, J Mateos Visual Communications and Image Processing 2006 6077, 67-79, 2006 | 36 | 2006 |
| Resolution enhancement of compressed low resolution video J Mateos, AK Katsaggelos, R Molina 2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000 | 33 | 2000 |
| Highresolution images from compressed lowresolution video: Motion estimation and observable pixels LD Alvarez, J Mateos, R Molina, AK Katsaggelos International Journal of Imaging Systems and Technology 14 (2), 58-66, 2004 | 29 | 2004 |
| Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations CA Segall, R Molina, AK Katsaggelos, J Mateos 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 28 | 2002 |
Rafael MolinaProfessor of Computer Science, University of Granada在 decsai.ugr.es 的电子邮件经过验证
