Publications

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Conference Paper
Zamir S.W, Vazquez-Corral J, Bertalmío M.  2015.  Gamut Extension for Cinema: Psychophysical Evaluation of the State of the Art, and a New Algorithm. IS&T Electronic Imaging Conference. GamutExtension_EI2015.pdf (3.9 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)
Bertalmío M, Levine S.  2012.  "Denoising an image by denoising its curvature image", IMA Preprint.
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)
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)
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)
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)
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)
Cyriac P, Kane D, Bertalmío M.  2016.  Automatic, Viewing-condition Dependent Contrast Grading Based on Perceptual Models. Society of Motion Picture & Television Engineers Annual Technical Conference & Exhibition. ToneMapping_smpte16.pdf (739.66 KB)
Zamir S.W, Vazquez-Corral J, Bertalmío M.  2017.  Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models. SMPTE Annual Technical Conference & Exhibition. GMA_KernelConvolution.pdf (1.15 MB)
Chart
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)
Yeonan-Kim J, Bertalmío M.  2017.  When Does Surface Appearance Become Scale-Variant? Vision Sciences Society Annual Meeting. Jihyun_YeonanKim_VSS2017.pdf (71.39 KB)
Grimaldi A, Kane D, Bertalmío M.  2017.  Scale invariance does not hold for high dynamic range images, but is reestablished by early retinal nonlinearities. The European Conference on Visual Perception (ECVP). poster_ECVP.pdf (2.95 MB)
Kim J, Batard T, Bertalmío M.  2016.  Retinal Processing Optimizes Contrast Coding. Vision Sciences Society Annual Meeting.
Kim J, Bertalmío M.  2014.  The potential effect of the electrical coupling among horizontal cells on enhancing local contrast signals in the parasol retinal pathway. The Optical Society of America. OSA14_poster.pdf (1.5 MB)
Kane D, Bertalmío M.  2014.  The Perceived Quality of Undistorted Natural Images. Vision Sciences Society Annual Meeting. PosterVSS.pdf (4.81 MB)
Grimaldi A, Kane D, Bertalmío M.  2017.  Natural Images Statistics as Function of Dynamic Range. Vision Sciences Society Annual Meeting. Abstract.pdf (6.42 MB)
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)
Kim J, Bertalmío M.  2015.  Investigating the Effect of Lateral Inhibition in the Retinal Circuitry on Lightness Contrast and Assimilation: A Model Study. Vision Sciences Society Annual Meeting. VSS15_poster.pdf (1.92 MB)
Kane D, Bertalmío M.  2015.  The impact of ‘crispening’ upon the perceived contrast of textures. The Optical Society of America. OSA2015_Poster.pdf (710.24 KB)
Kane D, Bertalmío M.  2017.  Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting. VSS_supporting_page.pdf (901.01 KB)

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