Publications

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Batard T, Bertalmío M.  2016.  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)
Rodríguez RGil, Vazquez-Corral J, Bertalmío M.  2018.  Color matching images with unknown non-linear encodings. *Submitted*. ColorMatching.pdf (23.15 MB)
Vazquez-Corral J, Bertalmío M.  2014.  Color Stabilization Along Time and Across Shots of the Same Scene, for One or Several Cameras of Unknown Specifications. IEEE Transactions on Image Processing. CameraStablization_TIP2014.pdf (16.36 MB)
Rodríguez RGil, Vazquez-Corral J, Bertalmío M.  2017.  Color-matching Shots from Different Cameras Having Unknown Gamma or Logarithmic Encoding Curves. SMPTE Annual Technical Conference & Exhibition. SMPTE2017_GilRaquel.pdf (1.24 MB)
Batard T, Maldonado ERamon, Steidl G, Bertalmío M.  2019.  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)
Bertalmío M.  2016.  Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference. BertalmioRetinex50_EI2016.pdf (152.17 KB)
Vazquez-Corral J, Zamir S.W, Bertalmío M.  2014.  Considering saliency in a perception inspired gamut reduction algorithm. Color and Imaging Conference. CIC2014.pdf (3.44 MB)
Cardelino J, Caselles V, Bertalmío M, Randall G.  2013.  A Contrario Selection of Optimal Partitions for Image Segmentation. SIAM Journal on Imaging Sciences (SIIMS). SIIMS_final.pdf (2.56 MB)
Gomez-Villa A, Martín A, Vazquez-Corral J, Bertalmío M.  2019.  Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR). CNNillusions.pdf (4.05 MB)
Bertalmío M, Batard T, Kim J.  2016.  Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.
Bertalmío M, Calatroni L, Franceschi V, Franceschiello B, Prandi D.  2019.  A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations. Scale Space and Variational Methods in Computer Vision (SSVM2019). ContrastPerception.pdf (669.04 KB)
Batard T, Bertalmío M.  2014.  On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences (SIIMS). SIIMS_Denoising.pdf (4 MB)