Publications
A Non Local Variational Formulation for the Improvement of Tone Mapped Images. SIAM Journal on Imaging Sciences (SIIMS).
ToneMapping.pdf (4.68 MB)
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2014. 
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. 
Derivatives and Inverse of Cascaded Linear+Nonlinear Neural Models. PLOS ONE.
paper.pdf (7.86 MB)
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2017. 
A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing.
DenoisingTIP.pdf (10.26 MB)
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2015. 
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 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. 
A Variational Method for the Optimization of Tone Mapping Operators. 6th Pacific-Rim Symposium on Image and Video Technology, Guanajuato, Mexico.
TM_PSIVT2013.pdf (5.87 MB)
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2013. 
Local Denoising Based on Curvature Smoothing can Visually Outperform Non-local Methods on Photographs with Actual Noise. IEEE International Conference on Image Processing.
DenoisingICIP2016.pdf (1.9 MB)
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2016. 
Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output. IS&T Electronic Imaging Conference.
DenoisingEI2016.pdf (2.09 MB)
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2016. 
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. 
Denoising an Image by Denoising its Components in a Moving Frame. International Conference on Image and Signal Processing (ICISP). *Best Paper Award*.
icisp00.pdf (6.88 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. 
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. 
Retinal Processing Optimizes Contrast Coding. Vision Sciences Society Annual Meeting.
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2016. Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.
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2016.