Miguel Vega - RankMe

54 papers B 12Misc 1Journal 17Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Deep Bayesian Blind Color Deconvolution Using a Gaussian Scale Mixture Prior. EUSIPCO Francisco M. Castro-Macías, Miguel Vega, Fernando Pérez-Bueno, Rafael Molina, Aggelos K. Katsaggelos
2025	—	`conf`	Deep Sparse Prior: Enhancing Deblurring Deep Priors with Sparsity Constraints. ICIPW Francisco M. Castro-Macías, Miguel Vega, Rafael Molina
2024	B	`conf`	Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. ICIP Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2024	—	`conf`	Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. ISBI Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2022	J	`jnl`	Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. Fernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2021	J	`jnl`	Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Comput. Methods Programs Biomed. Fernando Pérez-Bueno, Miguel Vega, María Á. Sales, José Aneiros-Fernández, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020	—	`conf`	Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. EUSIPCO Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020	B	`conf`	Super Gaussian Priors for Blind Color Deconvolution of Histological Images. ICIP Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	Variational Bayesian Blind Color Deconvolution of Histopathological Images. IEEE Trans. Image Process. Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2019	—	`conf`	Variational Bayes Color Deconvolution with a Total Variation Prior. EUSIPCO Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2018	B	`conf`	Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. ICIP Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2018	—	`conf`	Fully Automated Blind Color Deconvolution of Histopathological Images. MICCAI (2) Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2018	J	`jnl`	Image super-resolution for outdoor digital forensics. Usability and legal aspects. Comput. Ind. Salvador Villena, Miguel Vega, Javier Mateos, Duska Rosenberg, Fionn Murtagh, Rafael Molina, Aggelos K. Katsaggelos
2018	J	`jnl`	Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy. Comput. Electron. Agric. María-Teresa Sánchez, José-Antonio Entrenas, Irina Torres, Miguel Vega, Dolores Pérez-Marín
2017	J	`jnl`	Fast Bayesian blind deconvolution with Huber Super Gaussian priors. Digit. Signal Process. Xu Zhou, Miguel Vega, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos
2016	—	`conf`	Compressed sensing super resolution of color images. EUSIPCO Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2016	J	`jnl`	Compressive sensing super resolution from multiple observations with application to passive millimeter wave images. Digit. Signal Process. Wael Alsaafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2016	B	`conf`	Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. ICIP Javier Mateos, Antonio López, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2015	B	`conf`	Image super-resolution from compressed sensing observations. ICIP Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2015	—	`conf`	PMMW image super resolution from compressed sensing observations. EUSIPCO Wael Saafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2014	J	`jnl`	A non-stationary image prior combination in super-resolution. Digit. Signal Process. Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2014	—	`conf`	Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors. EUSIPCO Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`conf`	A general sparse image prior combination in Compressed Sensing. EUSIPCO Jorge Rubio, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`conf`	A general sparse image prior combination in super-resolution. DSP Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2013	J	`jnl`	Bayesian combination of sparse and non-sparse priors in image super resolution. Digit. Signal Process. Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2012	—	`conf`	Simultaneous Bayesian compressive sensing and blind deconvolution. EUSIPCO Leonidas Spinoulas, Bruno Amizic, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2011	B	`conf`	A novel iterative image restoration algorithm using nonstationary image priors. ICIP Esteban Vera, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2011	J	`jnl`	A survey of classical methods and new trends in pansharpening of multispectral images. EURASIP J. Adv. Signal Process. Israa Amro, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2011	B	`conf`	Bayesian TV denoising of SAR images. ICIP Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011	B	`conf`	Parameter estimation in Bayesian super-resolution pansharpening using contourlets. ICIP Israa Amro, Javier Mateos, Miguel Vega
2011	—	`conf`	Parameter estimation in the general contourlet pansharpening method using Bayesian inference. EUSIPCO Israa Amro, Javier Mateos, Miguel Vega
2011	J	`jnl`	Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations. J. Signal Process. Syst. Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2010	B	`conf`	Bayesian super-resolution pansharpening using contourlets. ICIP Israa Amro, Javier Mateos, Miguel Vega
2010	—	`conf`	General contourlet pansharpening method using Bayesian inference. EUSIPCO Israa Amro, Javier Mateos, Miguel Vega
2010	—	`conf`	Image prior combination in super-resolution image reconstruction. EUSIPCO Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2010	B	`conf`	Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. ICIP Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2009	—	`conf`	L1 prior majorization in Bayesian image restoration. DPS Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2009	B	`conf`	Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. ACIVS Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2009	J	`jnl`	Super-Resolution of Multispectral Images. Comput. J. Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2008	—	`conf`	Super Resolution of Multispectral Images Using TV Image Models. KES (3) Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2007	—	`conf`	From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. ICIP (1) Rafael Molina, Miguel Vega, Aggelos K. Katsaggelos
2007	—	`conf`	Super resolution of multispectral images using locally adaptive models. EUSIPCO Rafael Molina, Javier Mateos, Miguel Vega, Aggelos K. Katsaggelos
2006	J	`jnl`	A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images. EURASIP J. Adv. Signal Process. Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2006	—	`conf`	Hierarchical Bayesian super resolution reconstruction of multispectral images. EUSIPCO Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
2006	B	`conf`	Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. ICIP Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
2005	—	`conf`	Bayesian Reconstruction of Color Images Acquired with a Single CCD. IbPRIA (1) Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2003	Misc	`conf`	Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. IbPRIA Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2003	J	`jnl`	Bayesian multichannel image restoration using compound Gauss-Markov random fields. IEEE Trans. Image Process. Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
2003	—	`conf`	Bayesian parameter estimation in image reconstruction from subsampled blurred observations. ICIP (2) Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2003	J	`jnl`	Parameter estimation in Bayesian high-resolution image reconstruction with multisensors. IEEE Trans. Image Process. Rafael Molina, Miguel Vega, Javier Abad, Aggelos K. Katsaggelos
2003	—	`conf`	Parameter estimation in super-resolution image reconstruction problems. ICASSP (3) Javier Abad, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2002	—	`conf`	A General Multichannel Image Restoration Method Using Compound Models. ICPR (3) Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega