Publications

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Kane D, Bertalmío M.  2015.  Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception . PosterECVP.pdf (16.48 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)
Galdran A, Alvarez-Gila A, Bria A, Vazquez-Corral J, Bertalmío M.  2018.  On the Duality Between Retinex and Image Dehazing. *Accepted* in Computer Vision and Pattern Recognition (CVPR). ImageDehazing.pdf (4.3 MB)
Martinez-García M, Cyriac P, Batard T, Bertalmío M, Malo J.  2017.  Derivatives and Inverse of Cascaded Linear+Nonlinear Neural Models. PLOS ONE. paper.pdf (7.86 MB)
Bertalmío M, Levine S.  2012.  "Denoising an image by denoising its curvature image", IMA Preprint.
Bertalmío M, Levine S.  2013.  Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS). siimsRR6a.pdf (5.34 MB)
Ghimpeteanu G, Batard T, Bertalmío M, Levine S.  2014.  Denoising an Image by Denoising its Components in a Moving Frame. International Conference on Image and Signal Processing (ICISP). *Best Paper Award*. icisp00.pdf (6.88 MB)
Ghimpeteanu G, Batard T, Bertalmío M, Levine S.  2015.  A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing. DenoisingTIP.pdf (10.26 MB)
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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)
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)
Bertalmío M, Batard T, Kim J.  2016.  Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.
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)
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)
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)
Bertalmío M.  2016.  Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference. BertalmioRetinex50_EI2016.pdf (152.17 KB)
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)
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)
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.  2018.  Color matching images with unknown non-linear encodings. *Submitted*. ColorMatching.pdf (23.15 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)

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