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Rafael Molina: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]

  37. Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. [Citation Graph (, )][DBLP]


  38. From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. [Citation Graph (, )][DBLP]


  39. Nonstationary Blind Image Restoration using Variational Methods. [Citation Graph (, )][DBLP]


  40. Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. [Citation Graph (, )][DBLP]


  41. Blind restoration of blurred photographs via AR modelling and MCMC. [Citation Graph (, )][DBLP]


  42. Total variation super resolution using a variational approach. [Citation Graph (, )][DBLP]


  43. Compressive sensing of light fields. [Citation Graph (, )][DBLP]


  44. Local Bayesian image restoration using variational methods and Gamma-Normal distributions. [Citation Graph (, )][DBLP]


  45. Image restoration by mixture modelling of an overcomplete linear representation. [Citation Graph (, )][DBLP]


  46. Bayesian blind deconvolution from differently exposed image pairs. [Citation Graph (, )][DBLP]


  47. Super Resolution of Multispectral Images Using TV Image Models. [Citation Graph (, )][DBLP]


  48. Using Logarithmic Opinion Pooling Techniques in Bayesian Blind Multi-Channel Restoration. [Citation Graph (, )][DBLP]


  49. Generalized Gaussian Markov random field image restoration using variational distribution approximation. [Citation Graph (, )][DBLP]


  50. Fast bayesian compressive sensing using Laplace priors. [Citation Graph (, )][DBLP]


  51. Guest Editorial. [Citation Graph (, )][DBLP]


  52. Super-Resolution of Multispectral Images. [Citation Graph (, )][DBLP]


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