Publications
Image Processing for Cinema. Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series.
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2014. A Variational Approach for the Fusion of Exposure Bracketed Pairs. IEEE Transactions on Image Processing.
fusionOfExposure.pdf (24.67 MB)
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2013. 
From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71)
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2014. .
2012. A model of color constancy and efficient coding can predict lightness induction. Vision Sciences Society Annual Meeting.
vss2014.pdf (2.95 MB)
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2014. 
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. Journal of Mathematical Imaging and Vision.
contrastPerception.pdf (1.68 MB)
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2020. 
Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle. Journal of Neurophysiology.
Cowan.pdf (1.31 MB)
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2020. 
The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting.
VSS_2017_M.pdf (384.41 KB)
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2017. 
Harmonic Flow for Histogram Matching. Geometric Computation for Computer Vision GCCV, Guanajuato, Mexico.
GCCV2013.pdf (3.6 MB)
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2013. 
Generalized Gradient on Vector Bundle - Application to Image Denoising. Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM-2013), Austria.
CameraReady_Paper.pdf (2.04 MB)
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2013. 
Duality Principle for Image Regularization and Perceptual Color Correction Models. Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM).
CameraReady.pdf (858.33 KB)
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2015. 
A Geometric Model of Brightness Perception and its Application to Color Images Correction. *Accepted* in Journal of Mathematical Imaging and Vision.
Manuscript.pdf (2.42 MB)
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2018. 
On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences (SIIMS).
SIIMS_Denoising.pdf (4 MB)
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2014. 
A connection between image processing and artificial neural networks layers through a geometric model of visual perception. Scale Space and Variational Methods in Computer Vision (SSVM2019).
geometricModelPerception.pdf (13.46 MB)
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2019. 
A Class of Nonlocal Variational Problems on a Vector Bundle for Color Image Local Contrast Reduction/Enhancement. *Accepted* in Geometry, Imaging and Computing.
preprint2.pdf (11.12 MB)
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2016. 
Pages
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