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Miguel Vega
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2020 – today
- 2024
- [c34]Francisco M. Castro-Macías
, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. ISBI 2024: 1-5 - 2022
- [j17]Fernando Pérez-Bueno
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. 97: 102048 (2022) - 2021
- [j16]Fernando Pérez-Bueno
Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Comput. Methods Programs Biomed. 211: 106453 (2021) - 2020
- [j15]Fernando Pérez-Bueno
A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. 101: 102727 (2020) - [j14]Fernando Pérez-Bueno
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors 20(18): 5308 (2020) - [j13]Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega
Variational Bayesian Blind Color Deconvolution of Histopathological Images. IEEE Trans. Image Process. 29: 2026-2036 (2020) - [c33]Fernando Pérez-Bueno
Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. EUSIPCO 2020: 1254-1258 - [c32]Fernando Pérez-Bueno
Super Gaussian Priors for Blind Color Deconvolution of Histological Images. ICIP 2020: 3010-3014
2010 – 2019
- 2019
- [c31]Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayes Color Deconvolution with a Total Variation Prior. EUSIPCO 2019: 1-5 - 2018
- [j12]María-Teresa Sánchez, José-Antonio Entrenas, Irina Torres
Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy. Comput. Electron. Agric. 155: 446-452 (2018) - [j11]Salvador Villena, Miguel Vega
Image super-resolution for outdoor digital forensics. Usability and legal aspects. Comput. Ind. 98: 34-47 (2018) - [c30]Natalia Hidalgo-Gavira, Javier Mateos
Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. ICIP 2018: 983-987 - [c29]Natalia Hidalgo-Gavira, Javier Mateos
Fully Automated Blind Color Deconvolution of Histopathological Images. MICCAI (2) 2018: 183-191 - 2017
- [j10]Xu Zhou
Fast Bayesian blind deconvolution with Huber Super Gaussian priors. Digit. Signal Process. 60: 122-133 (2017) - 2016
- [j9]Wael AlSaafin
Compressive sensing super resolution from multiple observations with application to passive millimeter wave images. Digit. Signal Process. 50: 180-190 (2016) - [c28]Wael Saafin
Compressed sensing super resolution of color images. EUSIPCO 2016: 1563-1567 - [c27]Javier Mateos
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. ICIP 2016: 2678-2682 - 2015
- [c26]Wael Saafin
PMMW image super resolution from compressed sensing observations. EUSIPCO 2015: 1815-1819 - [c25]Wael Saafin
Image super-resolution from compressed sensing observations. ICIP 2015: 4268-4272 - 2014
- [j8]Salvador Villena, Miguel Vega
A non-stationary image prior combination in super-resolution. Digit. Signal Process. 32: 1-10 (2014) - [c24]Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors. EUSIPCO 2014: 1632-1636 - 2013
- [j7]Salvador Villena, Miguel Vega
Bayesian combination of sparse and non-sparse priors in image super resolution. Digit. Signal Process. 23(2): 530-541 (2013) - [c23]Jorge Rubio, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
A general sparse image prior combination in Compressed Sensing. EUSIPCO 2013: 1-5 - [c22]Salvador Villena, Miguel Vega
A general sparse image prior combination in super-resolution. DSP 2013: 1-6 - 2012
- [c21]Leonidas Spinoulas, Bruno Amizic, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Simultaneous Bayesian compressive sensing and blind deconvolution. EUSIPCO 2012: 1414-1418 - 2011
- [j6]Israa Amro
A survey of classical methods and new trends in pansharpening of multispectral images. EURASIP J. Adv. Signal Process. 2011: 79 (2011) - [j5]Miguel Vega
Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations. J. Signal Process. Syst. 65(3): 509-523 (2011) - [c20]Israa Amro, Javier Mateos, Miguel Vega:
Parameter estimation in the general contourlet pansharpening method using Bayesian inference. EUSIPCO 2011: 1130-1134 - [c19]Miguel Vega
Bayesian TV denoising of SAR images. ICIP 2011: 165-168 - [c18]Israa Amro
Parameter estimation in Bayesian super-resolution pansharpening using contourlets. ICIP 2011: 1345-1348 - [c17]Esteban Vera
A novel iterative image restoration algorithm using nonstationary image priors. ICIP 2011: 3457-3460 - 2010
- [c16]Israa Amro, Javier Mateos, Miguel Vega:
General contourlet pansharpening method using Bayesian inference. EUSIPCO 2010: 294-298 - [c15]Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Image prior combination in super-resolution image reconstruction. EUSIPCO 2010: 616-620 - [c14]Israa Amro
Bayesian super-resolution pansharpening using contourlets. ICIP 2010: 809-812 - [c13]Salvador Villena, Miguel Vega
Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. ICIP 2010: 893-896
2000 – 2009
- 2009
- [j4]Miguel Vega
Super-Resolution of Multispectral Images. Comput. J. 52(1): 153-167 (2009) - [c12]Salvador Villena, Miguel Vega
Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. ACIVS 2009: 188-199 - [c11]Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
L1 prior majorization in Bayesian image restoration. DPS 2009: 1-6 - 2008
- [c10]Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Super Resolution of Multispectral Images Using TV Image Models. KES (3) 2008: 408-415 - 2007
- [c9]Rafael Molina, Javier Mateos, Miguel Vega, Aggelos K. Katsaggelos:
Super resolution of multispectral images using locally adaptive models. EUSIPCO 2007: 1497-1501 - [c8]Rafael Molina
From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. ICIP (1) 2007: 121-124 - 2006
- [j3]Miguel Vega
A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images. EURASIP J. Adv. Signal Process. 2006 (2006) - [c7]Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos:
Hierarchical Bayesian super resolution reconstruction of multispectral images. EUSIPCO 2006: 1-5 - [c6]Rafael Molina
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. ICIP 2006: 1749-1752 - 2005
- [c5]Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Reconstruction of Color Images Acquired with a Single CCD. IbPRIA (1) 2005: 343-350 - 2003
- [j2]Rafael Molina
Bayesian multichannel image restoration using compound Gauss-Markov random fields. IEEE Trans. Image Process. 12(12): 1642-1654 (2003) - [j1]Rafael Molina
Parameter estimation in Bayesian high-resolution image reconstruction with multisensors. IEEE Trans. Image Process. 12(12): 1655-1667 (2003) - [c4]Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. IbPRIA 2003: 538-546 - [c3]Javier Abad, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos:
Parameter estimation in super-resolution image reconstruction problems. ICASSP (3) 2003: 709-712 - [c2]Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Bayesian parameter estimation in image reconstruction from subsampled blurred observations. ICIP (2) 2003: 969-972 - 2002
- [c1]Rafael Molina, Javier Mateos
A General Multichannel Image Restoration Method Using Compound Models. ICPR (3) 2002: 835-838
Coauthor Index
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