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Filters: Author is Marcelo Bertalmío [Clear All Filters]
Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
Image Processing for Cinema. Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series.. 2014.
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.
Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference.. 2016.
Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.. 2016.
The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting.. 2017.
A Variational Approach for the Fusion of Exposure Bracketed Pairs. IEEE Transactions on Image Processing.. 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.
Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle. Journal of Neurophysiology.. 2020.
Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. Journal of Mathematical Imaging and Vision.. 2020.
Evidence for the intrinsically nonlinear nature of receptive fields in vision. Scientific reports.. 2020.