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A Class of Nonlocal Variational Problems on a Vector Bundle for Color Image Local Contrast Reduction/Enhancement. *Accepted* in Geometry, Imaging and Computing.. 2016.
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.
Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.. 2016.
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.
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.
Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output. IS&T Electronic Imaging Conference.. 2016.
Local Denoising Based on Curvature Smoothing can Visually Outperform Non-local Methods on Photographs with Actual Noise. IEEE International Conference on Image Processing.. 2016.
A Non Local Variational Formulation for the Improvement of Tone Mapped Images. SIAM Journal on Imaging Sciences (SIIMS).. 2014.
Retinal Processing Optimizes Contrast Coding. Vision Sciences Society Annual Meeting.. 2016.
A Variational Method for the Optimization of Tone Mapping Operators. 6th Pacific-Rim Symposium on Image and Video Technology, Guanajuato, Mexico.. 2013.
The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting.. 2017.