Miguel Vega

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 18

Top Topics

Compressed Sensing

Variational Bayes

Histological Images

Top Venues

Digit. Signal Process.

Publications

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)
Fernando Pérez-Bueno, Miguel Vega, María Á. Sales, José Aneiros-Fernández, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Comput. Methods Programs Biomed. 211 (2021)
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 Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Super Gaussian Priors for Blind Color Deconvolution of Histological Images. ICIP (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)
Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. EUSIPCO (2020)
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)
María-Teresa Sánchez, José-Antonio Entrenas, Irina Torres, Miguel Vega, Dolores Pérez-Marín
Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy. Comput. Electron. Agric. 155 (2018)
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Fully Automated Blind Color Deconvolution of Histopathological Images. MICCAI (2) (2018)
Xu Zhou, Miguel Vega, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos
Fast Bayesian blind deconvolution with Huber Super Gaussian priors. Digit. Signal Process. 60 (2017)
Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Compressed sensing super resolution of color images. EUSIPCO (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)
Wael AlSaafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Compressive sensing super resolution from multiple observations with application to passive millimeter wave images. Digit. Signal Process. 50 (2016)
Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Image super-resolution from compressed sensing observations. ICIP (2015)
Wael Saafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
PMMW image super resolution from compressed sensing observations. EUSIPCO (2015)
Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
A non-stationary image prior combination in super-resolution. Digit. Signal Process. 32 (2014)
Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors. EUSIPCO (2014)
Jorge Rubio, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
A general sparse image prior combination in Compressed Sensing. EUSIPCO (2013)
Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
A general sparse image prior combination in super-resolution. DSP (2013)
Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Bayesian combination of sparse and non-sparse priors in image super resolution. Digit. Signal Process. 23 (2) (2013)
Leonidas Spinoulas, Bruno Amizic, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Simultaneous Bayesian compressive sensing and blind deconvolution. EUSIPCO (2012)
Israa Amro, Javier Mateos, Miguel Vega
Parameter estimation in the general contourlet pansharpening method using Bayesian inference. EUSIPCO (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)
Esteban Vera, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
A novel iterative image restoration algorithm using nonstationary image priors. ICIP (2011)
Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Image prior combination in super-resolution image reconstruction. EUSIPCO (2010)
Israa Amro, Javier Mateos, Miguel Vega
General contourlet pansharpening method using Bayesian inference. EUSIPCO (2010)
Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. ICIP (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)
Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. ACIVS (2009)
Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
L1 prior majorization in Bayesian image restoration. DPS (2009)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Super Resolution of Multispectral Images Using TV Image Models. KES (3) (2008)
Rafael Molina, Miguel Vega, Aggelos K. Katsaggelos
From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. ICIP (1) (2007)
Rafael Molina, Javier Mateos, Miguel Vega, Aggelos K. Katsaggelos
Super resolution of multispectral images using locally adaptive models. EUSIPCO (2007)
Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images. EURASIP J. Adv. Signal Process. 2006 (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)
Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Reconstruction of Color Images Acquired with a Single CCD. IbPRIA (1) (2005)
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. IbPRIA (2003)
Javier Abad, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Parameter estimation in super-resolution image reconstruction problems. ICASSP (3) (2003)
Rafael Molina, Miguel Vega, Javier Abad, Aggelos K. Katsaggelos
Parameter estimation in Bayesian high-resolution image reconstruction with multisensors. IEEE Trans. Image Process. 12 (12) (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)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian parameter estimation in image reconstruction from subsampled blurred observations. ICIP (2) (2003)
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
A General Multichannel Image Restoration Method Using Compound Models. ICPR (3) (2002)