Javier Mateos

Catedrático en la Universidad de Granada
Full professor at University of Granada

Dirección postal / Address

Javier Mateos Delgado

Dpto. Ciencias de la Computación e Inteligencia Artificial

E.T.S. Ing. Informática y Telecomunicaciones Universidad de Granada

18071 Granada (Spain)

Despacho / Office

Dpto. Ciencias de la Computación e Inteligencia Artificial

E.T.S. Ing. Informática y Telecomunicaciones

Cuarta planta, despacho D.38

Fourth floor, office D.38

Tel: +34 958 240801

Docencia / Teaching

Bases Técnicas de los medios audiovisuales

Grado en Comunicación Audiovisual

Información de la asignatura en el Departmento

PRADO

Procesamiento de vídeo digital

Grado en Ingeniería de Tecnologías de Telecomunicaciones

Información de la asignatura en el Departmento

PRADO

Publicaciones / Publications

Journals

2023
R. del Amor, J. Pérez-Cano, M. López-Pérez, L. Terradez, J. Aneiros-Fernandez, S. Morales, J. Mateos, R. Molina, and V. Naranjo, “Annotation Protocol and Crowdsourcing Multiple Instance Learning Classification of Skin Histological Images: the CR-AI4SkIN Dataset ”, Artificial Intelligence in Medicine, vol. 145, 102686, November 2023.
DOIPDFCode
S. López-Tapia, J. Mateos, R. Molina, and A.K. Katsaggelos, “Learning Moore-Penrose Based Residuals for Robust Non-Blind Image Deconvolution ”, Digital Signal Processing, vol. 142, 104193, October 2023.
DOIPDFCode
2022
F. Pérez-Bueno, J.G. Serra, M. Vega, J. Mateos, R. Molina, and A. K. Katsaggelos, “Bayesian K-SVD for H&E blind color deconvolution. Applications to stain normalization, data augmentation, and cancer classification ”, Computerized Medical Imaging and Graphics, vol. 97, 102048, April 2022.
DOIPDF
2020
F. Pérez-Bueno, M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors ”, Sensors, vol. 20, 5308, September 2020.
DOIPDF
F. Pérez-Bueno, M. López-Pérez, M. Vega, J. Mateos, V. Naranjo, R. Molina, and A.K. Katsaggelos, “A TV-based Image Processing Framework for Blind Color Deconvolution and Classification of Histological Images, ”, Digital Signal Processing, vol. 101, no. 6, 102727, June 2020.
DOIPDF
N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Variational Bayesian Blind Color Deconvolution of Histopathological Images ”, IEEE Transactions on Image Processing, vol. 29, no. 1, 2026-2036, March 2020.
DOIPDFCode
2019
J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational EM Method for Blur Estimation using the Spike-and-Slab Image Prior ”, Digital Signal Processing, vol. 88, 116-129, May 2019.
DOIPDF
2018
S. Villena, M. Vega, J. Mateos, D. Rosenberg, F. Murtagh, R. Molina, and A.K. Katsaggelos, “Image super-resolution for outdoor digital forensics. Usability and legal aspects ”, Computers in Industry, vol. 98, 34-47, June 2018.
DOIPDF
2015
P. Ruiz, X. Zhou, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational Bayesian Blind Image Deconvolution: A Review”, Digital Signal Processing, vol. 47, 116-127, December 2015.
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X. Zhou, J. Mateos, F. Zhou, R. Molina, and A.K. Katsaggelos, “Variational Dirichlet Blur Kernel Estimation”, IEEE Transactions on Image Processing, vol. 24, no. 12, 5127-5139, December 2015.
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2014
P. Ruiz, H. Madero-Orozco, J. Mateos, O.O. Vergara-Villegas, R. Molina, and A.K. Katsaggelos, “Combining Poisson Singular Integral and Total Variation prior models in Image Restoration”, Signal processing, vol. 103, 296-308, October 2014.
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P. Ruiz, J. Mateos, G. Camps-Valls, R. Molina, and A.K. Katsaggelos, “Bayesian Active Remote Sensing Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 4, 2186-2196, April 2014.
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2013
M. Tallon, J. Mateos, D. Babacan, R. Molina, and A.K. Katsaggelos, “Space-variant blur deconvolution and denoising in the dual exposure problem”, Information Fusion, vol. 14, no. 4, 396-409, October 2013.
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2012
V.F. Rodríguez-Galiano, E. Pardo-Igúzquiza, M. Chica-Olmo, J. Mateos , J.P. Rigol-Sánchez, and M. Vega, “A comparative assessment of different methods for Landsat 7 ETM+ pansharpening”, International Journal of Remote Sensing, vol. 33, no. 20, 6574-6599, October 2012.
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M. Vega, J. Mateos, R. Molina, and A. Katsaggelos, “Astronomical Image Restoration Using Variational Methods and Model Combination”, Statistical Methodology, vol. 9, no. 1-2, 19-31, January 2012.
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2011
M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Super Resolution of Multispectral Images using l1 Image Models and interband correlations”, Journal of Signal Processing Systems. Published online at http://www.springerlink.com/content/nt412p75831n0661/ , vol. 65, no. 3, 509-523, November 2011.
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I. Amro, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “A survey of classical methods and new trends in pansharpening of multispectral images”, EURASIP Journal on Advances in Signal Processing, vol. 2011, no. 1, 79, September 2011.
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2009
M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Super-resolution of multispectral images”, The Computer Journal doi:10.1093/comjnl/bxn031, vol. 52(1), 153-167, 2009.
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2008
R. Molina, M. Vega, J. Mateos, and A.K. Katsaggelos, “Variational Posterior Distribution Approximation in Bayesian Super Resolution Reconstruction of Multispectral images”, Applied and Computational Harmonic Analysis, special issue on “Mathematical Imaging”, Part II, vol. 24, no. 2, 251-267, February 2008.
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2006
R. Molina, J. Mateos, and A.K. Katsaggelos, “Blind deconvolution using a variational approach to parameter, image, and blur estimation”, IEEE Trans. on Image Processing, vol. 15, no. 12, 3715-3727, December 2006.
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2004
L.D. Alvarez, J. Mateos, R. Molina, and A.K. Katsaggelos, “High Resolution Images from Compressed Low Resolution Video: Motion Estimation and Observable Pixels”, International Journal of Imaging Systems and Technology, vol. 14, no. 2, 58-66, August 2004.
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C.A. Segall, A.K. Katsaggelos, R. Molina, and J. Mateos, “Bayesian Resolution Enhancement of Compressed Video”, IEEE Transactions on Image Processing, vol. 13, no. 7, 898-911, July 2004.
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2003
R. Molina, J. Mateos, A.K. Katsaggelos, and M. Vega, “Bayesian Multichannel Image Restoration Using Compound Gauss-Markov Random Fields”, IEEE Transactions on Image Processing, vol. 12, no. 12, 1642- 1654, December 2003.
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2002
A. López, R. Molina, A.K. Katsaggelos, and J. Mateos, “SPECT Image Reconstruction Using Compound Models”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 16, no. 3, 317-330, 2002.
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N.P. Galatsanos, V.Z. Mesarovic, R. Molina, A.K. Katsaggelos, and J. Mateos, “Hyperparameter Estimation in Image Restoration Problems with Partially-Known Blurs”, Optical Engineering, vol. 41, no. 8, 1845-1854, 2002.
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2001
R. Molina, J. Núñez, F.J. Cortijo, and J. Mateos, “Image Restoration in Astronomy. A Bayesian Perspective”, IEEE Signal Processing Magazine, vol. 18, no. 2, 11-29, 2001.
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2000
J. Mateos, A.K. Katsaggelos, and R. Molina, “A Bayesian Approach to Estimate and Transmit Regularization Parameters for Reducing Blocking Artifacts”, IEEE Transactions on Image Processing, vol. 9, no. 7, 1200-1215, 2000.
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M. Vega, R. Molina, J.M. Guirao, J. Abad, and J. Mateos, “Estimación de Parámetros en Restauración de Imágenes Multicanal. Aplicación a Imágenes Astronómicas”, Revista Electrónica de Visión por Computador, http://www.cvc.uab.es/revc/revista/04/index.htm, 2000.
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R. Molina, A.K. Katsaggelos, J. Mateos, A. Hermoso, and C.A. Segall, “Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields”, Pattern Recognition, vol. 33, no. 4, 555-571, 2000.
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1999
R. Molina, A.K. Katsaggelos, and J. Mateos, “Bayesian and Regularization Methods for Hyperparameter Estimation in Image Restoration”, IEEE Transactions on Image Processing, vol. 8, no. 2, 231-246, 1999.
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1998
R. Molina, A.K. Katsaggelos, J. Mateos, J. Abad, and F.J. Cortijo, “Restauración de Imágenes Digitales”, Novática (Monografía dedicada a Inteligencia Artificial), no. 131, 24-28, 1998.
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1997
R. Molina, A.K. Katsaggelos, J. Mateos, and J. Abad, “Compound Gauss-Markov Random Fields for Astronomical Image Restoration”, Vistas in Astronomy (Special issue on "Vision Modeling and Information Coding"), vol. 40, no. 4, 539-546, 1997.
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1996
R. Molina, and J. Mateos, “Mutichannel Image Restoration in Astronomy”, Vistas in Astronomy, vol. 41, no. 3, 373-378, 1996.
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1995
R. Molina, J. Mateos, J. Abad, N. Pérez de la Blanca, A. Molina, and F. Moreno, “Bayesian Image Restoration in Astronomy. Applications to Images of the Recent Collision of Comet Shoaker-Levy 9 with Jupiter”, International Journal of Imaging Systs and Technology (Special issue on "Image Reconstruction and Restoration in Astronomy"), vol. 6, no. 4, 370-375, 1995.
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Conferences

In press
F. M. Castro-Macías, F. Pérez-Bueno, M. Vega, J. Mateos, R. Molina, and A. K. Katsaggelos, “Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior” in IEEE International Symposium on Biomedical Imaging, May 2024.
Published
2023
S. López-Tapia, J. Mateos, R. Molina, and A.K. Katsaggelos, “Deep robust image restoration using the Moore-Penrose blur inverse ” in 2023 IEEE International Conference on Image Processing (ICIP 2023), 775-779, October 2023.
DOICode
2019
M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational Bayes Color Deconvolution with a Total Variation Prior ” in 27th European Signal Processing Conference, EUSIPCO 2019, TuEP3.7, September 2019.
DOIPDF
2018
N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Blind Color Deconvolution of Histopathological Images using a variational Bayesian Approach” in IEEE International Conference on Image Processing (ICIP 2018), 983-987, October 2018.
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N. Hidalgo-Gavira, J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Fully Automated Blind Color Deconvolution of Histopathological Images” in 21st International Conference on Medical Image Computing and Computer Assisted (MICCAI 2018), edited by A.F. Frangi and J.A. Schnabel and C. Davatzikos and C. Alberola-Lopez and G. Fichtinger, 183-191, September 2018.
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2017
J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Spike and Slab Variational Inference for Blind Image Deconvolution” in IEEE International Conference on Image Processing (ICIP 2017), 3765-3769, September 2017.
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J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Parameter Estimation in Spike and Slab Variational Inference for Blind Image Deconvolution” in European Signal Processing Conference (EUSIPCO 2017), 1540-1544, August 2017.
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2016
J. Mateos, A. López, M. Vega, R. Molina, and A.K. Katsaggelos, “Multiframe blind deconvolution of passive millimeter wave images using variational Dirichlet blur kernel estimation” in IEEE International Conference on Image Processing, 2678-2682, September 2016.
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2014
P. Ruiz, J. Mateos, R. Molina, and A.K. Katsaggelos, “Learning Filters in Gaussian Process Classification Problems” in IEEE International Conference on Image Processing (ICIP 2014), 2913-2917, October 2014.
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2013
H. Madero Orozco, P. Ruiz, J. Mateos, R. Molina, and A.K. Katsaggelos, “Image deblurring combining Poisson Singular Integral and Total Variation prior models” in 21th European Signal Processing Conference (EUSIPCO 2013), 1569744251, September 2013.
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I. Amro, and J. Mateos, “General Shearlet Pansharpening Method using Bayesian Inference” in Signal Processing Algorithms, Architectures, Arrangements, and Applications (SPA-2013) - Best Paper Award in the Session of Image Processing, 231-235, September 2013.
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P. Ruiz, J. Mateos, C. Cárdenas, S. Nakajima, R. Molina, and A.K. Katsaggelos, “Light field acquisition from blurred observations using a programmable coded aperture camera” in 21th European Signal Processing Conference (EUSIPCO 2013), 1569743131, September 2013.
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2012
P. Ruiz, J. Mateos, R. Molina, and A.K. Katsaggelos, “A Bayesian Active Learning Framework for a Two-Class Classification Problem” in MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding, edited by Emanuele Salerno, A. Enis Çetin and Ovidio Salvetti, vol. LNCS-7252, 42-53, 2012.
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M. Tallón, S.D. Babacan, J. Mateos, M.N. Do, R. Molina, and A.K. Katsaggelos, “Upsampling and Denoising of Depth Maps via Joint-Segmentation” in European Signal Processing Conference, 245-249, August 2012.
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2011
I. Amro, J. Mateos, and M. Vega, “Parameter estimation in Bayesian super-resolution pansharpening using contourlets” in IEEE International Conference on Image Processing ICIP 2011, 1345-1348, September 2011.
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I. Amro, J. Mateos, and M. Vega, “Parameter Estimation in the General Contourlet Pansharpening Method using Bayesian Inference” in 2011 European Signal Processing Conference (EUSIPCO 2011), 1130-1134, September 2011.
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M. Tallón, J. Mateos , R. Molina, and A.K. Katsaggelos, “Image prior combination in space-variant blur deconvolution for the dual exposure problem” in 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011), 408-413, September 2011.
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M. Tallón, J. Mateos, S.D. Babacan, R. Molina, and A.K. Katsaggelos, “Space-variant Kernel Deconvolution for Dual Exposure Problem” in EUSIPCO 2011 (19th European Signal Processing Conference 2011) , 1678-1682, September 2011.
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M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Bayesian TV Denoising of SAR images” in IEEE International Conference on Image Processing ICIP 2011, 169-172, September 2011.
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P. Ruiz, J.V. Talens, J. Mateos, R. Molina, and A.K. Katsaggelos, “Interactive Classification Oriented Superresolution of Multispectral Images” in 7th International Workshop Data Analysis in Astronomy (DAA2011), edited by Livio Scarsi and Vito Di Gesù, 77-85, April 2011.
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2010
I. Amro, J. Mateos, and M. Vega, “Bayesian super-resolution pansharpening using contourlets” in International Conference on Image Processing 2010 - Finalist of the Huawei Best Student Paper Award , 809-812, September 2010.
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I. Amro, J. Mateos, and M. Vega, “General Contourlet Pansharpening Method using Bayesian Inference” in 2010 European Signal Processing Conference (EUSIPCO-2010), 294-298, August 2010.
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M. Tallón, J. Mateos, S.D. Babacan, R. Molina, and A.K. Katsaggelos, “Combining observation models in dual Exposure problems using the Kullback-Leibler Divergence” in 2010 European Signal Processing Conference (EUSIPCO-2010), 323-327, August 2010.
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2009
J. Mateos, T.E. Bishop, R. Molina, and A.K. Katsaggelos, “Local Bayesian Image Restoration Using Variational Methods and Gamma-Normal Distributions” in IEEE Innternational Conference on Image Processing (2009), 129-132, November 2009.
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M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Super Resolution of Multispectral Images using l1 Image Models and interband correlations” in 2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, September 2009.
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I. Amro, and J. Mateos, “Multispectral image pansharpening based on the contourlet transform” in 8th International Workshop on Information Optics (WIO' 09) - Journal of Physics: Conference Series, vol. 206, 012031, DOI:10.1088/1742-6596/206/1/012031, July 2009.
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2008
M. Vega, J. Mateos, R. Molina, and A.K.. Katsaggelos, “Super Resolution of Multispectral Images using TV image models” in 2th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, edited by I. Lovrek and R.J. Howlett and L.C. Jain, vol. LNAI-5179, Part III, 408-415, September 2008.
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J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Pansharpening of multispectral images using a TV-based super-resolution algorithm” in 7th International Workshop on Information Optics (WIO-08), Journal of Physics: Conference Series, vol. 139, 012022, June 2008.
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2007
R. Molina, J. Mateos, M. Vega, and A.K. Katsaggelos, “Super resolution of multispectral images using locally adaptive models” in 15th European Signal Processing Conference (EUSIPCO 2007), 1497-1501, September 2007.
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R. Molina, J. Mateos, M. Vega, and A.K. Katsaggelos, “Super-Resolution of Multispectral Images” in Modelling and Simulation in Science. Proceedings of the 6th International Workshop on Data Analysis in Astronomy, edited by V. Di Gesù and G. Lo Bosco and M.C. Maccarone, 279-286, April 2007.
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2006
R. Molina, M. Vega, J. Mateos, and A.K. Katsaggelos, “Parameter Estimation in Bayesian Reconstruction of Multispectral Images Using Super Resolution Techniques ” in 2006 International Conference on Image Processing (ICIP 2006) , 1749-1752, October 2006.
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R. Molina, M. Vega, J. Mateos, and A.K. Katsaggelos, “Hierarchical Bayesian Super Resolution Reconstructiuon of Multispectral Images” in 2006 European Signal Processing Conference (EUSIPCO 2006), Tue.4.4, September 2006.
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R. Molina, A.K. Katsaggelos, L.D. Alvarez, and J. Mateos, “Towards a new video compression scheme using super-resolution” in Proc. of SPIE-IS&T Electronic Imaging, Visual Communications and Image Processing 2006, edited by John G. Apostolopoulos and Amir Said, vol. 6077, 607706-1 607706-13, January 2006.
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2005
M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos , “Super resolution and pansharpening of multispectral images (invited conference)” in First International Conferenece on Super Resoltuion Imaging, edited by Michael Ng, 2005.
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R. Molina, J. Mateos, A.K. Katsaggelos, and R. Zurita-Milla, “A new super resolution Bayesian method for pansharpening Landsat ETM+ imagery” in 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS), edited by S. Liang, J. Liu, X. Li, R. Liu and M. Schaepman, 280-283, October 2005.
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J. Mateos, R. Molina, and A.K. Katsaggelos, “Approximations of posterior distributions in blind deconvolution using variational methods” in IEEE International Conference on Image Processing (ICIP 2005), vol. II, 770-773, September 2005.
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R. Molina, J. Mateos, and A.K. Katsaggelos, “Super resolution reconstruction of multispectral images” in Virtual observatories: Plate Content Digitization, Archive Mining and Image Sequence processing, edited by M. Tsvetkov and V. Golev and F. Murtagh and R. Molina, 211-221, April 2005.
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2004
L.D. Alvarez, J. Mateos, R. Molina, and A.K. Katsaggelos, “Observability and Predictibility in Super-Resolution” in Astronomical Data Analysis III, April 2004.
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2003
M. Vega, J. Mateos, R. Molina, and A.K. Katsaggelos, “Bayesian Parameter Estimation in Image Reconstruction from Subsampled Blurred Observations” in IEEE International Conference on Image Processing (ICIP-2003), edited by IEEE, vol. II, 969-973, September 2003.
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J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images” in 1st Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA2003), Lecture Notes in Computer Science, vol. 2652, 445-452, June 2003.
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J. Mateos, R. Molina, and A.K. Katsaggelos, “Bayesian High Resolution Image Reconstruction with Incomplete Multisensor Low Resolution Systems” in 2003 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP2003), vol. III, 705-708, April 2003.
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2002
C.A. Segall, R. Molina, A.K. Katsaggelos, and J. Mateos, “Reconstruction of High-resolution Image Frames from a Sequence of Low-resolution and Compressed Observations” in 2002 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2002), vol. 2, 1701-1704, 2002.
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R. Molina, J. Mateos, A.K. Katsaggelos, and M. Vega, “A General Multichannel Image Restoration Method Using Compound Models” in 2002 IEEE International Conference on Pattern Recognition (ICPR2002), vol. 3, 835-838, 2002.
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2001
A. López, A.K. Katsaggelos, R. Molina, and J. Mateos, “SPECT Image Reconstruction Using Compound Models” in 2001 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2001), vol. 3, 1909-1912, 2001.
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A. López, R. Molina, A.K. Katsaggelos, and J. Mateos, “SPECT Image Reconstruction Using Compound Prior Models” in IX Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, vol. 1, 209-214, 2001.
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C.A. Segall, R. Molina, A.K. Katsaggelos, and J. Mateos, “Bayesian High-resolution Reconstruction of Low-resolution Compressed Video” in 2001 IEEE International Conference on Image Processing (ICIP2001), vol. 2, 25-28, 2001.
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2000
J. Mateos, A.K. Katsaggelos, and R. Molina, “Resolution Enhancement of Compressed Low Resolution Video” in 2000 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2000), vol. 4, 1919-1922, 2000.
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J. Mateos, A.K. Katsaggelos, and R. Molina, “Color Image Restoration Using Compound Gauss-Markov Random Fields” in X European Signal Processing Conference (EUSIPCO2000), vol. III, 1341-1344, 2000.
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J. Mateos, A.K. Katsaggelos, and R. Molina, “High-Resolution Color Image Reconstruction from Compressed Video Sequences” in X European Signal Processing Conference (EUSIPCO2000), vol. IV, 2133-2136, 2000.
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J. Mateos, A.K. Katsaggelos, and R. Molina, “Simultaneous Motion Estimation and Resolution Enhancent of Compressed Low Resolution Video” in 2000 IEEE International Conference on Image Processing, vol. 2, 653-656, 2000.
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R. Molina, J. Mateos, and A.K. Katsaggelos, “Multichannel Image Restoration Using Compound Gauss-Markov Random Fields” in 2000 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2000), vol. 1, 141-144, 2000.
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1999
J.M. Guirao, M. Vega, R. Molina, J. Abad, and J. Mateos, “Parameter estimation in multichannel image restoration. Applications in astronomy” in VIII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, vol. 1, 455-461, 1999.
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1998
J. Mateos, B. Jimenez, C. Ilia, R. Molina, and A.K. Katsaggelos, “Reduction of Blocking Artifacts in Block Transformed Compressed Color Image” in 1998 IEEE International Conference on Image Processing, vol. 1, 401-405, 1998.
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1997
J. Mateos, A.K. Katsaggelos, and R. Molina, “Bayesian Reconstruction of BDCT Compressed Images” in VII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, vol. 1, 341-346, 1997.
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R. Molina, A.K. Katsaggelos, J. Abad, and J. Mateos, “A Bayesian Approach to Blind Deconvolution based on Dirichlet Distributions” in IEEE 1997 International Conference on Acoustics, Speech and Signal Processing (ICASSP'97), vol. IV, 2809-2812, 1997.
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R. Molina, A.K. Katsaggelos, and J. Mateos, “Bayesian Deconvolution Methods in Astronomy” in Data Analysis in Astronomy, 1997.
R. Molina, J. Abad, J.M. Guirao, A. López, J. Mateos, and M. Vega, “Reconstrucción Bayesiana de Imágenes SPECT” in XV congreso anual de la sociedad española de ingeniería biomédica CASEIB97, 170-173, 1997.
R. Molina, and J. Mateos, “Image Models and Their Role in Image Processing. Some Multichannel Results” in CCMA Sonthofen Conference "Advanced Techniques and Methods for Astronomical Information Handling", 21-31 (http://newb6.u-strasbg.fr/~ccma/sonthofen), 1997.
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R. Molina, J. Mateos, and A.K. Katsaggelos, “Estimating and Transmitting Regularization Parameters for Reducing Blocking Artifacts” in 3rd International Conference on Digital Signal Processing (DSP97), 209-212, 1997.
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1996
J. Mateos, A.K. Katsaggelos, and R. Molina, “Parameter Estimation in Regularized Reconstruction to Reduce Blocking Artifacts of BDCT Compressed Images” in Conference on Digital Compression Technologies Systems for Video Communications at European Symposium on Advanced Imaging and Network Technologies, vol. SPIE-2952, 70-81, 1996.
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R. Molina, A.K. Katsaggelos, J. Mateos, and J. Abad, “Restoration of Severely Blurred High Range Images using Compound Models” in 1996 IEEE International Conference on Image Processing, ICIP96, vol. II, 469-472, 1996.
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1995
J. Abad, J. Mateos, R. Molina, and F.J. Cortijo, “A Study of Methods for Choosing the Unknown Parameters in the Bayesian and Regularization Approaches to Image Restoration” in VI Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, 358-365, 1995.
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1993
R. Molina, J. Mateos, and J. Abad, “Prior Models and the Richardson-Lucy Restoration Method” in The Restoration of HST Images and Spectra II, 118-122, 1993.
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1992
R. Molina, L.M. de Campos, and J. Mateos, “Using Bayesian Algorithms for Learning Causal Networks in Classification Problems” in International Conference on Information Processing and Managent of Uncertainty in Knowledge Based Systems (IPMU 92), 395-398, 1992.

Books

2011
I. Amro, and J. Mateos, “Multispectral Image fusion Using Multiscale and Super-resolution Methods”, VDM Verlag, July 2011.
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2007
A.K. Katsaggelos, R. Molina, and J. Mateos, “Super resolution of images and video”, Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool, 2007.
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Chapters

2013
P. Ruiz, J. Mateos, G. Camps-Valls, R. Molina, and A. K. Katsaggelos, “Interactive Pansharpening and Active Classification in Remote Sensing”, in Multimodal Interaction in Image and Video Applications, A. D. Sappa, and J, Vitrià (ed.), Intelligent Systems Reference Library, vol. 48, 67-81, Springer, February 2013.
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2010
I. Amro, and J. Mateos, “Multispectral image pansharpening based on the contourlet transform”, in Information Optics and Photonics: Algorithms, Systems, and Applications, T. Fournel, and B. Javidi (ed.), ch. 20, 247-262, Springer , November 2010.
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2003
J. Mateos, M. Vega, R. Molina, and A.K. Katsaggelos, “Bayesian image estimation from an incomplete set of blurred, undersampled low resolution images”, in 1st Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA2003), Lecture Notes in Computer Science, vol. 2652, 538-546, Springer-Verlag, June 2003.
2001
C.A. Segall, A.K. Katsaggelos, R. Molina, and J. Mateos, “Super-Resolution from compressed video”, in Super-Resolution Imaging, S. Chaudhuri (ed.), ch. 9, 211-242, Kluwer Academic Publishers, 2001.
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1998
R. Molina, A.K. Katsaggelos, and J. Mateos, “Removal of blocking artifacts using a hierarchical Bayesian approach”, in Signal recovery techniques for image and video compression and transmission, A.K. Katsaggelos, and N.P. Galatsanos (ed.), ch. 1, 1-34, Kluwer Academic Press, 1998.
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1997
R. Molina, A.K. Katsaggelos, and J. Mateos, “Bayesian deconvolution methods in Astronomy”, in Data Analysis in Astronomy, V.D. Gesu, M. Duff, A. Heck, M. Macarrone, L. Scarsi, and H. Zimmerman (ed.), vol. V, 289-295, World Scientific, 1997.
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R. Molina, A.K. Katsaggelos, J. Mateos, and A. Hermoso, “Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss Markov random fields”, in Lecture Notes in Computer Science, vol. 1223, 117-132, Springer-Verlag, 1997.
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1993
R. Molina, L.M. de Campos, and J. Mateos, “Using Bayesian algorithms for learning causal networks in classification problems”, in Uncertainty in Intelligent Systems, B. Bouchon-Meunier, L. Valverde, and R.R. Yager (ed.), 49-59, Elsevier, 1993.