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Filters: First Letter Of Last Name is B and Author is Marcelo Bertalmío [Clear All Filters]
Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models. SMPTE Annual Technical Conference & Exhibition.. 2017.
Automatic, Viewing-condition Dependent Contrast Grading Based on Perceptual Models. Society of Motion Picture & Television Engineers Annual Technical Conference & Exhibition.. 2016.
A Class of Nonlocal Variational Problems on a Vector Bundle for Color Image Local Contrast Reduction/Enhancement. *Accepted* in Geometry, Imaging and Computing.. 2016.
Color matching images with unknown non-linear encodings. *Submitted*.. 2018.
Color Stabilization Along Time and Across Shots of the Same Scene, for One or Several Cameras of Unknown Specifications. IEEE Transactions on Image Processing.. 2014.
Color-matching Shots from Different Cameras Having Unknown Gamma or Logarithmic Encoding Curves. SMPTE Annual Technical Conference & Exhibition.. 2017.
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.
Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference.. 2016.
Considering saliency in a perception inspired gamut reduction algorithm. Color and Imaging Conference.. 2014.
A Contrario Selection of Optimal Partitions for Image Segmentation. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR).. 2019.
Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.. 2016.
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.
On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences (SIIMS).. 2014.
A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing.. 2015.
Denoising an Image by Denoising its Components in a Moving Frame. International Conference on Image and Signal Processing (ICISP). *Best Paper Award*.. 2014.
Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS).. 2013.
On the Duality Between Retinex and Image Dehazing. *Accepted* in Computer Vision and Pattern Recognition (CVPR).. 2018.
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.
Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception .. 2015.
Enhanced Variational Image Dehazing. SIAM Journal on Imaging Sciences (SIIMS).. 2015.
Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting.. 2017.
From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71). 2014.