Publications

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Bertalmío M.  2016.  Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference. BertalmioRetinex50_EI2016.pdf (152.17 KB)
Bertalmío M, Levine S.  2013.  A Variational Approach for the Fusion of Exposure Bracketed Pairs. IEEE Transactions on Image Processing. fusionOfExposure.pdf (24.67 MB)
Bertalmío M, Levine S.  2013.  Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS). siimsRR6a.pdf (5.34 MB)
Bertalmío M., Levine S..  2013.  Color matching for stereoscopic cinema. Proceedings of Mirage 2013, 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications. Berlin. paper.pdf (7.52 MB)
Bertalmío M, Batard T, Kim J.  2016.  Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.
Bertalmío M.  2014.  Image Processing for Cinema. Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series.
Bertalmío M.  2014.  From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71)
Bertalmío M, Levine S.  2012.  "Denoising an image by denoising its curvature image", IMA Preprint.
Bertalmío M.  2014.  A model of color constancy and efficient coding can predict lightness induction. Vision Sciences Society Annual Meeting. vss2014.pdf (2.95 MB)
Bertalmío M, Cyriac P, Batard T, Martinez-García M, Malo J.  2017.  The Wilson-Cowan Model Describes Contrast Response and Subjective Distortion. Vision Sciences Society Annual Meeting. VSS_2017_M.pdf (384.41 KB)
Batard T, Bertalmío M.  2013.  Harmonic Flow for Histogram Matching. Geometric Computation for Computer Vision GCCV, Guanajuato, Mexico. GCCV2013.pdf (3.6 MB)
Batard T, Bertalmío M.  2018.  A Geometric Model of Brightness Perception and its Application to Color Images Correction. *Accepted* in Journal of Mathematical Imaging and Vision. Manuscript.pdf (2.42 MB)
Batard T, Bertalmío M.  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. CameraReady_Paper.pdf (2.04 MB)
Batard T, Bertalmío M.  2015.  Duality Principle for Image Regularization and Perceptual Color Correction Models. Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM). CameraReady.pdf (858.33 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)
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)

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