Miguel Vega

发表

Image prior combination in super-resolution image reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 18th European Signal Processing Conference.

Bayesian super-resolution pansharpening using contourlets

Miguel Vega, Javier Mateos, Israa Amro, 2010, 2010 IEEE International Conference on Image Processing.

Bayesian TV denoising of SAR images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2011, 2011 18th IEEE International Conference on Image Processing.

Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IbPRIA.

From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, 2007 IEEE International Conference on Image Processing.

Variational Bayesian Blind Color Deconvolution of Histopathological Images

Miguel Vega, Javier Mateos, Natalia Hidalgo-Gavira, 2020, IEEE Transactions on Image Processing.

General contourlet pansharpening method using Bayesian inference

Miguel Vega, Javier Mateos, Israa Amro, 2010, 2010 18th European Signal Processing Conference.

Parameter estimation in the general contourlet pansharpening method using Bayesian inference

Miguel Vega, Javier Mateos, Israa Amro, 2011, 2011 19th European Signal Processing Conference.

A general multichannel image restoration method using compound models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2002, Object recognition supported by user interaction for service robots.

Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Fast Bayesian blind deconvolution with Huber Super Gaussian priors

Xu Zhou, Aggelos K. Katsaggelos, Fugen Zhou, 2017, Digit. Signal Process..

PMMW image super resolution from compressed sensing observations

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Bayesian multichannel image restoration using compound Gauss-Markov random fields

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IEEE Trans. Image Process..

Compressive sensing super resolution from multiple observations with application to passive millimeter wave images

Aggelos K. Katsaggelos, Salvador Villena, Miguel Vega, 2016, Digit. Signal Process..

Super-Resolution of Multispectral Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, Comput. J..

Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, 2006 International Conference on Image Processing.

Parameter estimation in Bayesian high-resolution image reconstruction with multisensors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IEEE Trans. Image Process..

A survey of classical methods and new trends in pansharpening of multispectral images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2011, EURASIP J. Adv. Signal Process..

Bayesian Reconstruction of Color Images Acquired with a Single CCD

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2005, IbPRIA.

Parameter estimation in Bayesian super-resolution pansharpening using contourlets

Miguel Vega, Javier Mateos, Israa Amro, 2011, 2011 18th IEEE International Conference on Image Processing.

Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

A general sparse image prior combination in Compressed Sensing

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Compressed sensing super resolution of color images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Hierarchical Bayesian super resolution reconstruction of multispectral images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, 2006 14th European Signal Processing Conference.

Iterative image restoration using nonstationary priors.

Rafael Molina, Miguel Vega, Esteban Vera, 2013, Applied optics.

A comparative assessment of different methods for Landsat 7/ETM+ pansharpening

Mario Chica-Olmo, Miguel Vega, Javier Mateos, 2012 .

Fully Automated Blind Color Deconvolution of Histopathological Images

Aggelos K. Katsaggelos, Miguel Vega, Javier Mateos, 2018, MICCAI.

Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2009, ACIVS.

Variational Bayes Color Deconvolution with a Total Variation Prior

Aggelos K. Katsaggelos, Miguel Vega, Javier Mateos, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Image super-resolution from compressed sensing observations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach

Aggelos K. Katsaggelos, Miguel Vega, Javier Mateos, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Super Resolution of Multispectral Images Using TV Image Models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2008, KES.

Super Gaussian Priors for Blind Color Deconvolution of Histological Images

Valery Naranjo, Miguel Vega, Aggelos K. Katsaggelos, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

A novel iterative image restoration algorithm using nonstationary image priors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2011, 2011 18th IEEE International Conference on Image Processing.

Bayesian combination of sparse and non-sparse priors in image super resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2013, Digit. Signal Process..

A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, EURASIP J. Adv. Signal Process..

A TV-based image processing framework for blind color deconvolution and classification of histological images

Aggelos K. Katsaggelos, Valery Naranjo, Miguel Vega, 2020, Digit. Signal Process..

Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 IEEE International Conference on Image Processing.

Image super-resolution for outdoor digital forensics. Usability and legal aspects

Aggelos K. Katsaggelos, Rafael Molina, Fionn Murtagh, 2018, Computers in industry (Print).

A non-stationary image prior combination in super-resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2014, Digit. Signal Process..

Super resolution of multispectral images using locally adaptive models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, 2007 15th European Signal Processing Conference.

A general sparse image prior combination in super-resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Bayesian parameter estimation in image reconstruction from subsampled blurred observations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Parameter estimation in super-resolution image reconstruction problems

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Super resolution of multispectral images using ℓ1 image models and interband correlations

Aggelos K. Katsaggelos, Miguel Vega, Javier Mateos, 2009 .

Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy

Dolores Pérez-Marín, Miguel Vega, Irina Torres, 2018, Comput. Electron. Agric..

Simultaneous Bayesian compressive sensing and blind deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Indicadores de Ciencia y Tecnología, en Avance del Estudio Estratégico de la Biotecnología en España: Descripción e Indicadores. Genoma España

Miguel Vega, Mercedes Escribano, José Ignacio Fernández, 2004 .

Image prior combination in super-resolution image registration & reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Super-Resolution of Multispectral Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, Comput. J..

L1 prior majorization in Bayesian image restoration

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, 2009 16th International Conference on Digital Signal Processing.

Pre-harvest screening on-vine of spinach quality and safety using NIRS technology.

Dolores Pérez-Marín, Miguel Vega, Irina Torres, 2019, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.