Javier Mateos

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 22

Top Topics

Variational Bayes

Kernel Estimation

Image Restoration

Blind Image Deconvolution

Top Venues

Digit. Signal Process.

IEEE Trans. Image Process.

Publications

Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. ICIP (2023)
Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Learning Moore-Penrose based residuals for robust non-blind image deconvolution. Digit. Signal Process. 142 (2023)
Joan Lario, Javier Mateos, Raul Poler, Ángel Ortiz
Collaborative Network for the Development of Non-Destructive Inspection Technologies: Elicitation Requirements in an Industrial Environment. PRO-VE (2023)
Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, Liria Terradez, José Aneiros-Fernández, Sandra Morales, Javier Mateos, Rafael Molina, Valery Naranjo
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset. Artif. Intell. Medicine 145 (2023)
Fernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. 97 (2022)
Gaudencio Paz-Martínez, Ignacio Iñiguez-de-la-Torre, Héctor Sánchez-Martín, José Antonio Novoa-López, Virginie Hoel, Yvon Cordier, Javier Mateos, Tomás González
Temperature and Gate-Length Dependence of Subthreshold RF Detection in GaN HEMTs. Sensors 22 (4) (2022)
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Blind Color Deconvolution of Histopathological Images. IEEE Trans. Image Process. 29 (2020)
Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. 101 (2020)
Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors 20 (18) (2020)
Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational EM method for blur estimation using the spike-and-slab image prior. Digit. Signal Process. 88 (2019)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayes Color Deconvolution with a Total Variation Prior. EUSIPCO (2019)
Salvador Villena, Miguel Vega, Javier Mateos, Duska Rosenberg, Fionn Murtagh, Rafael Molina, Aggelos K. Katsaggelos
Image super-resolution for outdoor digital forensics. Usability and legal aspects. Comput. Ind. 98 (2018)
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. ICIP (2018)
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Fully Automated Blind Color Deconvolution of Histopathological Images. MICCAI (2) (2018)
Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Parameter estimation in spike and slab variational inference for blind image deconvolution. EUSIPCO (2017)
Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Spike and slab variational inference for blind image deconvolution. ICIP (2017)
Poorna Marthi, Nazir Hossain, Huan Wang, Jean-François Millithaler, Martin Margala, Ignacio Iñiguez-de-la-Torre, Javier Mateos, Tomás González
A high performance Full Adder based on Ballistic Deflection Transistor technology. ISCAS (2017)
Poorna Marthi, Nazir Hossain, Huan Wang, Jean-François Millithaler, Martin Margala, Ignacio Iñiguez-de-la-Torre, Javier Mateos, Tomás González
Design and Analysis of High Performance Ballistic Nanodevice-Based Sequential Circuits Using Monte Carlo and Verilog AMS Simulations. IEEE Trans. Circuits Syst. I Regul. Pap. (12) (2016)
Javier Mateos, Antonio López, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. ICIP (2016)
Poorna Marthi, Sheikh Rufsan Reza, Nazir Hossain, Jean-François Millithaler, Martin Margala, Ignacio Iñiguez-de-la-Torre, Javier Mateos, Tomás González
Modeling and Study of Two-BDT-Nanostructure based Sequential Logic Circuits. ACM Great Lakes Symposium on VLSI (2016)
Pablo Ruiz, Xu Zhou, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Blind Image Deconvolution: A review. Digit. Signal Process. 47 (2015)
Xu Zhou, Javier Mateos, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos
Variational Dirichlet Blur Kernel Estimation. IEEE Trans. Image Process. 24 (12) (2015)
Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Active Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 52 (4) (2014)
Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Learning filters in Gaussian process classification problems. ICIP (2014)
Pablo Ruiz, Hiram Madero Orozco, Javier Mateos, Osslan Osiris Vergara-Villegas, Rafael Molina, Aggelos K. Katsaggelos
Combining Poisson singular integral and total variation prior models in image restoration. Signal Process. 103 (2014)
Hiram Madero Orozco, Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Image deblurring combining poisson singular integral and total variation prior models. EUSIPCO (2013)
Pablo Ruiz, Javier Mateos, María C. Cárdenas, Shinichi Nakajima, Rafael Molina, Aggelos K. Katsaggelos
Light field acquisition from blurred observations using a programmable coded aperture camera. EUSIPCO (2013)
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Space-variant blur deconvolution and denoising in the dual exposure problem. Inf. Fusion 14 (4) (2013)
Miguel Tallon, S. Derin Babacan, Javier Mateos, Minh N. Do, Rafael Molina, Aggelos K. Katsaggelos
Upsampling and denoising of depth maps via joint-segmentation. EUSIPCO (2012)
Israa Amro, Javier Mateos, Miguel Vega
Parameter estimation in the general contourlet pansharpening method using Bayesian inference. EUSIPCO (2011)
Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
A Bayesian Active Learning Framework for a Two-Class Classification Problem. MUSCLE (2011)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations. J. Signal Process. Syst. 65 (3) (2011)
Israa Amro, Javier Mateos, Miguel Vega
Parameter estimation in Bayesian super-resolution pansharpening using contourlets. ICIP (2011)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian TV denoising of SAR images. ICIP (2011)
Israa Amro, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
A survey of classical methods and new trends in pansharpening of multispectral images. EURASIP J. Adv. Signal Process. 2011 (2011)
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Space-variant kernel deconvolution for dual exposure problem. EUSIPCO (2011)
Miguel Tallon, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Image prior combination in space-variant blur deconvolution for the dual exposure problem. ISPA (2011)
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Combining observation models in dual exposure problems using the Kullback-Leibler divergence. EUSIPCO (2010)
Israa Amro, Javier Mateos, Miguel Vega
General contourlet pansharpening method using Bayesian inference. EUSIPCO (2010)
Israa Amro, Javier Mateos, Miguel Vega
Bayesian super-resolution pansharpening using contourlets. ICIP (2010)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Super-Resolution of Multispectral Images. Comput. J. 52 (1) (2009)
Javier Mateos, Tom E. Bishop, Rafael Molina, Aggelos K. Katsaggelos
Local Bayesian image restoration using variational methods and Gamma-Normal distributions. ICIP (2009)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Super Resolution of Multispectral Images Using TV Image Models. KES (3) (2008)
Rafael Molina, Javier Mateos, Miguel Vega, Aggelos K. Katsaggelos
Super resolution of multispectral images using locally adaptive models. EUSIPCO (2007)
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation. IEEE Trans. Image Process. 15 (12) (2006)
Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. ICIP (2006)
Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
Hierarchical Bayesian super resolution reconstruction of multispectral images. EUSIPCO (2006)
Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Approximations of posterior distributions in blind deconvolution using variational methods. ICIP (2) (2005)
C. Andrew Segall, Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos
Bayesian resolution enhancement of compressed video. IEEE Trans. Image Process. 13 (7) (2004)
Luis D. Alvarez, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
High-resolution images from compressed low-resolution video: Motion estimation and observable pixels. Int. J. Imaging Syst. Technol. 14 (2) (2004)
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. IbPRIA (2003)
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
Bayesian multichannel image restoration using compound Gauss-Markov random fields. IEEE Trans. Image Process. 12 (12) (2003)
Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems. ICASSP (3) (2003)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian parameter estimation in image reconstruction from subsampled blurred observations. ICIP (2) (2003)
C. Andrew Segall, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations. ICASSP (2002)
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
A General Multichannel Image Restoration Method Using Compound Models. ICPR (3) (2002)
Antonio López, Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
SPECT Image Reconstruction Using Compound Prior Models. Int. J. Pattern Recognit. Artif. Intell. 16 (3) (2002)
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, C. Andrew Segall
Bayesian high-resolution reconstruction of low-resolution compressed video. ICIP (2) (2001)
Antonio López, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
SPECT image reconstruction using compound models. ICASSP (2001)
Rafael Molina, Jorge Núñez, Francisco J. Cortijo, Javier Mateos
Image restoration in astronomy: a Bayesian perspective. IEEE Signal Process. Mag. 18 (2) (2001)
Javier Mateos, Tomás González, Daniel Pardo, Virginie Hoel, Alain Cappy
Monte Carlo simulation of electronic characteristics in short channel δ-doped AlInAs/GaInAs HEMTs. Microelectron. Reliab. 41 (1) (2001)
Pavel Shiktorov, Evjeni Starikov, Viktor Gruzinskis, Tomás González, Javier Mateos, Daniel Pardo, Luca Reggiani, Luca Varani, Jean Claude Vaissière
Langevin Forces and Generalized Transfer Fields for Noise Modelling in Deep Submicron Devices. VLSI Design 2001 (1) (2001)
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
Color image restoration using compound Gauss-Markov Random Fields. EUSIPCO (2000)
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. Pattern Recognit. 33 (4) (2000)
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts. IEEE Trans. Image Process. 9 (7) (2000)
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video. ICIP (2000)
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
Multichannel image restoration using compound Gauss-Markov random fields. ICASSP (2000)
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
High-resolution color image reconstruction from compressed video sequences. EUSIPCO (2000)
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
Resolution enhancement of compressed low resolution video. ICASSP (2000)
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
Bayesian and regularization methods for hyperparameter estimation in image restoration. IEEE Trans. Image Process. 8 (2) (1999)
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. ICIP (1) (1998)
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. EMMCVPR (1997)
Rafael Molina, Aggelos K. Katsaggelos, Javier Abad, Javier Mateos
A Bayesian approach to blind deconvolution based on Dirichlet distributions. ICASSP (1997)
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Javier Abad
Restoration of severely blurred high range images using compound models. ICIP (2) (1996)
Rafael Molina, Javier Mateos, Javier Abad, Nicolas Pérez de la Blanca, A. Molina, Fernando Moreno
Bayesian image restoration in astronomy: Application to images of the recent collision of comet shoemaker-levy 9 with jupiter. Int. J. Imaging Syst. Technol. 6 (4) (1995)