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Rafael Molina:
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[Cites]
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Publications of Author
- Fidel Aznar Gregori, Mireia Sempere, Mar Pujol, Ramón Rizo, Rafael Molina
3D Robot Mapping: Combining Active and Non Active Sensors in a Probabilistic Framework. [Citation Graph (0, 0)][DBLP] CAEPIA, 2005, pp:11-20 [Conf]
- Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos
Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations. [Citation Graph (0, 0)][DBLP] CIARP, 2003, pp:46-53 [Conf]
- Salvador Villena, Javier Abad, Rafael Molina, Aggelos K. Katsaggelos
Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations. [Citation Graph (0, 0)][DBLP] CIARP, 2004, pp:509-516 [Conf]
- Silvia Acid, Luis M. de Campos, Antonio González, Rafael Molina, Nicolas Pérez de la Blanca
Learning with CASTLE. [Citation Graph (0, 0)][DBLP] ECSQARU, 1991, pp:99-106 [Conf]
- Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Aurora Hermoso
Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields. [Citation Graph (0, 0)][DBLP] EMMCVPR, 1997, pp:117-132 [Conf]
- Antonio López, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation. [Citation Graph (0, 0)][DBLP] IbPRIA (2), 2005, pp:455-462 [Conf]
- Antonio López, Rafael Molina, Aggelos K. Katsaggelos
Bayesian SPECT Image Reconstruction with Scale Hyperparameter Estimation for Scalable Prior. [Citation Graph (0, 0)][DBLP] IbPRIA, 2003, pp:445-452 [Conf]
- Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. [Citation Graph (0, 0)][DBLP] IbPRIA, 2003, pp:538-546 [Conf]
- Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Reconstruction of Color Images Acquired with a Single CCD. [Citation Graph (0, 0)][DBLP] IbPRIA (1), 2005, pp:343-350 [Conf]
- Antonio López, José Manuel Martín, Rafael Molina, Aggelos K. Katsaggelos
Transmission Tomography Reconstruction Using Compound Gauss-Markov Random Fields and Ordered Subsets. [Citation Graph (0, 0)][DBLP] ICIAR (2), 2006, pp:559-569 [Conf]
- Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos
Motion estimation in high resolution image reconstruction from compressed video sequences. [Citation Graph (0, 0)][DBLP] ICIP, 2004, pp:1795-1798 [Conf]
- Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina
Two Bayesian Image Restoration Algorithms from Partially-Known Blurs. [Citation Graph (0, 0)][DBLP] ICIP (2), 1998, pp:93-97 [Conf]
- Antonio López, Rafael Molina, Aggelos K. Katsaggelos
Hyperparameter Estimation for Emission Computed Tomography Data. [Citation Graph (0, 0)][DBLP] ICIP (2), 1999, pp:677-680 [Conf]
- Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video. [Citation Graph (0, 0)][DBLP] ICIP, 2000, pp:- [Conf]
- Javier Mateos, Carlos Ilia Herráiz Montalvo, Blas C. Ruiz Jiménez, Rafael Molina, Aggelos K. Katsaggelos
Reduction of Blocking Artifacts in Block Transformed Compressed Color Images. [Citation Graph (0, 0)][DBLP] ICIP (1), 1998, pp:401-405 [Conf]
- Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, C. Andrew Segall
Bayesian high-resolution reconstruction of low-resolution compressed video. [Citation Graph (0, 0)][DBLP] ICIP (2), 2001, pp:25-28 [Conf]
- Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian parameter estimation in image reconstruction from subsampled blurred observations. [Citation Graph (0, 0)][DBLP] ICIP (2), 2003, pp:969-972 [Conf]
- Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Approximations of posterior distributions in blind deconvolution using variational methods. [Citation Graph (0, 0)][DBLP] ICIP (2), 2005, pp:770-773 [Conf]
- Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
A General Multichannel Image Restoration Method Using Compound Models. [Citation Graph (0, 0)][DBLP] ICPR (3), 2002, pp:835-838 [Conf]
- A. Sutherland, Bob Henery, Rafael Molina, C. C. Taylor, Ross D. King
Statistical Methods in Learning. [Citation Graph (0, 0)][DBLP] IPMU, 1992, pp:173-182 [Conf]
- Pilar Arques, Rafael Molina, Mar Pujol, Ramón Rizo
Distance histogram to centroid as a unique feature to recognize objects. [Citation Graph (0, 0)][DBLP] VISAPP (1), 2006, pp:492-500 [Conf]
- Antonio López, Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
SPECT Image Reconstruction Using Compound Prior Models. [Citation Graph (0, 0)][DBLP] IJPRAI, 2002, v:16, n:3, pp:317-330 [Journal]
- Rafael Molina
On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images. [Citation Graph (0, 0)][DBLP] IEEE Trans. Pattern Anal. Mach. Intell., 1994, v:16, n:11, pp:1122-1128 [Journal]
- Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Aurora Hermoso, C. Andrew Segall
Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss?CMarkov random fields. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 2000, v:33, n:4, pp:555-571 [Journal]
- Jose A. García, Rafael Molina, Nicolas Pérez de la Blanca
Automatic characterization of spiral and elliptical galaxies from digital images. [Citation Graph (0, 0)][DBLP] Pattern Recognition Letters, 1994, v:15, n:9, pp:861-869 [Journal]
- Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina, Aggelos K. Katsaggelos
Hierarchical Bayesian image restoration from partially known blurs. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Image Processing, 2000, v:9, n:10, pp:1784-1797 [Journal]
- Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Image Processing, 2000, v:9, n:7, pp:1200-1215 [Journal]
- Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
Bayesian and regularization methods for hyperparameter estimation in image restoration. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Image Processing, 1999, v:8, n:2, pp:231-246 [Journal]
- Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
Bayesian multichannel image restoration using compound Gauss-Markov random fields. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Image Processing, 2003, v:12, n:12, pp:1642-1654 [Journal]
- Rafael Molina, Miguel Vega, Javier Abad, Aggelos K. Katsaggelos
Parameter estimation in Bayesian high-resolution image reconstruction with multisensors. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Image Processing, 2003, v:12, n:12, pp:1655-1667 [Journal]
- C. Andrew Segall, Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos
Bayesian resolution enhancement of compressed video. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Image Processing, 2004, v:13, n:7, pp:898-911 [Journal]
- Antonio Javier Gallego, Rafael Molina, Patricia Compañ, Carlos Villagrá
3D Reconstruction and Mapping from Stereo Pairs with Geometrical Rectification. [Citation Graph (0, 0)][DBLP] BVAI, 2007, pp:318-327 [Conf]
- Antonio Javier Gallego, Rafael Molina, Patricia Compañ, Carlos Villagrá
Rectified Reconstruction from Stereo Pairs and Robot Mapping. [Citation Graph (0, 0)][DBLP] CAIP, 2007, pp:141-148 [Conf]
- Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. [Citation Graph (0, 0)][DBLP] ICIP, 2006, pp:1749-1752 [Conf]
- Rafael Molina, Antonio López, José Manuel Martín, Aggelos K. Katsaggelos
Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior. [Citation Graph (0, 0)][DBLP] VISAPP (Special Sessions), 2007, pp:165-176 [Conf]
- Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Image Processing, 2006, v:15, n:12, pp:3715-3727 [Journal]
Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. [Citation Graph (, )][DBLP]
From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. [Citation Graph (, )][DBLP]
Nonstationary Blind Image Restoration using Variational Methods. [Citation Graph (, )][DBLP]
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. [Citation Graph (, )][DBLP]
Blind restoration of blurred photographs via AR modelling and MCMC. [Citation Graph (, )][DBLP]
Total variation super resolution using a variational approach. [Citation Graph (, )][DBLP]
Compressive sensing of light fields. [Citation Graph (, )][DBLP]
Local Bayesian image restoration using variational methods and Gamma-Normal distributions. [Citation Graph (, )][DBLP]
Image restoration by mixture modelling of an overcomplete linear representation. [Citation Graph (, )][DBLP]
Bayesian blind deconvolution from differently exposed image pairs. [Citation Graph (, )][DBLP]
Super Resolution of Multispectral Images Using TV Image Models. [Citation Graph (, )][DBLP]
Using Logarithmic Opinion Pooling Techniques in Bayesian Blind Multi-Channel Restoration. [Citation Graph (, )][DBLP]
Generalized Gaussian Markov random field image restoration using variational distribution approximation. [Citation Graph (, )][DBLP]
Fast bayesian compressive sensing using Laplace priors. [Citation Graph (, )][DBLP]
Guest Editorial. [Citation Graph (, )][DBLP]
Super-Resolution of Multispectral Images. [Citation Graph (, )][DBLP]
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