MIGUEL
VEGA LÓPEZ
PROFESOR TITULAR DE UNIVERSIDAD
Northwestern University
Evanston, Estados UnidosPublicaciones en colaboración con investigadores/as de Northwestern University (50)
2022
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Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification
Computerized Medical Imaging and Graphics, Vol. 97
2021
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Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference
Computer Methods and Programs in Biomedicine, Vol. 211
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Fully automatic blind color deconvolution of histological images using super gaussians
European Signal Processing Conference
2020
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A TV-based image processing framework for blind color deconvolution and classification of histological images
Digital Signal Processing: A Review Journal, Vol. 101
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Variational Bayesian Blind Color Deconvolution of Histopathological Images
IEEE Transactions on Image Processing, Vol. 29, Núm. 1, pp. 2026-2036
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Variational Bayesian Pansharpening with super-Gaussian sparse image priors
Sensors (Switzerland), Vol. 20, Núm. 18, pp. 1-28
2019
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Variational bayes color deconvolution with a total variation prior
European Signal Processing Conference
2018
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Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach
Proceedings - International Conference on Image Processing, ICIP
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Fully automated blind color deconvolution of histopathological images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Image super-resolution for outdoor digital forensics. Usability and legal aspects
Computers in Industry, Vol. 98, pp. 34-47
2017
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Fast Bayesian blind deconvolution with Huber Super Gaussian priors
Digital Signal Processing: A Review Journal, Vol. 60, pp. 122-133
2016
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Compressed Sensing Super Resolution of color images
European Signal Processing Conference
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Compressive sensing super resolution from multiple observations with application to passive millimeter wave images
Digital Signal Processing: A Review Journal, Vol. 50, pp. 180-190
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Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation
Proceedings - International Conference on Image Processing, ICIP
2015
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Image super-resolution from compressed sensing observations
Proceedings - International Conference on Image Processing, ICIP
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PMMW image super resolution from compressed sensing observations
2015 23rd European Signal Processing Conference, EUSIPCO 2015
2014
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A non-stationary image prior combination in super-resolution
Digital Signal Processing: A Review Journal, Vol. 32, pp. 1-10
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Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors
European Signal Processing Conference
2013
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A general sparse image prior combination in Compressed Sensing
European Signal Processing Conference
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A general sparse image prior combination in super-resolution
2013 18th International Conference on Digital Signal Processing, DSP 2013