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).. 2019.
A Class of Nonlocal Variational Problems on a Vector Bundle for Color Image Local Contrast Reduction/Enhancement. *Accepted* in Geometry, Imaging and Computing.. 2016.
Harmonic Flow for Histogram Matching. Geometric Computation for Computer Vision GCCV, Guanajuato, Mexico.. 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.. 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).. 2015.
A Geometric Model of Brightness Perception and its Application to Color Images Correction. *Accepted* in Journal of Mathematical Imaging and Vision.. 2018.
On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences (SIIMS).. 2014.
Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle. Journal of Neurophysiology.. 2020.
The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting.. 2017.
Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference.. 2016.
Evidence for the intrinsically nonlinear nature of receptive fields in vision. Scientific reports.. 2020.
Color matching for stereoscopic cinema. Proceedings of Mirage 2013, 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications. Berlin.. 2013.
A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations. Scale Space and Variational Methods in Computer Vision (SSVM2019).. 2019.
Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.. 2016.
Image Processing for Cinema. Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series.. 2014.
A Variational Approach for the Fusion of Exposure Bracketed Pairs. IEEE Transactions on Image Processing.. 2013.
From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71). 2014.
A model of color constancy and efficient coding can predict lightness induction. Vision Sciences Society Annual Meeting.. 2014.
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. Journal of Mathematical Imaging and Vision.. 2020.
Matching visual induction effects on screens of different size by regularizing a neural field model of color appearance. Submitted.. 2020.
A Contrario Selection of Optimal Partitions for Image Segmentation. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
Optimized Tone Curve for In-Camera Image Processing. IS&T Electronic Imaging Conference.. 2016.
Vision models fine-tuned by cinema professionals for High Dynamic Range imaging in movies. Multimedia Tools and Applications.. 2020.