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Journal Article
Gomez-Villa A, Bertalmío M, Malo J.  2020.  Visual information flow in Wilson-Cowan networks. Journal of Neurophysiology. VisualInformation.pdf (3.12 MB)
Bertalmío M, Calatroni L, Franceschi V, Franceschiello B, Gomez-Villa A, Prandi D.  2020.  Visual illusions via neural dynamics: Wilson-Cowan-type models and the efficient representation principle. Journal of Neurophysiology. Cowan.pdf (1.31 MB)
Gomez-Villa A, Martín A, Vazquez-Corral J, Bertalmío M, Malo J.  2020.  Visual Illusions Also Deceive Convolutional Neural Networks: Analysis and Implications. visualIllusions.pdf (3.73 MB)
Zamir SWaqas, Vazquez-Corral J, Bertalmío M.  2019.  Vision models for wide color gamut imaging in cinema. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). wideGamut.pdf (34.11 MB)
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)
Kane D, Bertalmío M.  2015.  System gamma as a function of image- and monitor- dynamic range. Journal of Vision. JOV.pdf (1.86 MB)
Kim J, Bertalmío M.  2015.  Surrounding Size effect on Brightness Contrast-to-Assimilation is Predicted in Retina. *Submitted* to Journal of Vision. kimbertalmio_jov_submitted.pdf (1022.3 KB)
Grimaldi A, Kane D, Bertalmío M.  2019.  Statistics of natural images as a function of dynamic range. *Accepted* in Journal of Vision. StatisticsNaturalImages.pdf (2.76 MB)
Vazquez-Corral J, Bertalmío M.  2014.  Spectral sharpening of color sensors: diagonal color constancy and beyond. Sensors . template.pdf (1.69 MB)
Vazquez-Corral J, Bertalmío M.  2018.  Spatial gamut mapping among non-inclusive gamuts. *Accepted* in Journal of Visual Communication and Image Representation. spatialGM.pdf (31.88 MB)
Vazquez-Corral J, Bertalmío M.  2015.  Simultaneous blind gamma estimation. IEEE Signal Processing Letters. VazquezCorral_Bertalmio_SPL.pdf (1.27 MB)
Zabaleta I, Cámara M, Díaz C, Canham T, García N, Bertalmío M.  2020.  Retinal noise emulation: a novel artistic tool for cinema that also improves compression efficiency. IEEE Access. FINAL Article.pdf (30.65 MB)
Yeonan-Kim J, Bertalmío M.  2017.  Retinal Lateral Inhibition Provides the Biological Basis of Long-Range Spatial Induction. PLOS ONE.
Kane D, Bertalmío M.  2019.  A re-evaluation of Whittle (1986, 1992) reveals the link between detection thresholds, discrimination thresholds and brightness perception. *Accepted* in Journal of Vision. evaluationWhittle.pdf (4.05 MB)
Vazquez-Corral J, Connah D, Bertalmío M.  2014.  Perceptual color characterization of cameras. Sensors. VCB2014.pdf (24.73 MB)
Cyriac P, Batard T, Bertalmío M.  2014.  A Non Local Variational Formulation for the Improvement of Tone Mapped Images. SIAM Journal on Imaging Sciences (SIIMS). ToneMapping.pdf (4.68 MB)
Canham T, Vazquez-Corral J, Mathieu E, Bertalmío M.  2020.  Matching visual induction effects on screens of different size by regularizing a neural field model of color appearance. Submitted. visualInductionEffects.pdf (2.63 MB)
Rodríguez RGil, Vazquez-Corral J, Bertalmío M.  2019.  Issues with common assumptions about the camera pipeline, and their impact in HDR imaging from multiple exposures. *Accepted* in Siam Journal on Imaging Sciences . HDRimaging.pdf (16.68 MB)
Martinez-García M, Bertalmío M, Malo J.  2019.  In Praise of Artifice Reloaded: Caution With Natural Image Databases in Modeling Vision. *Accepted* in Frontiers in Neuroscience. NatImagesDatabases.pdf (4.25 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)
Zamir S.W, Vazquez-Corral J, Bertalmío M.  2014.  Gamut Mapping in Cinematography through Perceptually-based Contrast Modification. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Perception Inspired Video Processing. GM-Jstsp.pdf (30.26 MB)
Zamir S.W, Vazquez-Corral J, Bertalmío M.  2017.  Gamut Extension for Cinema. IEEE Transactions on Image Processing.
Bertalmío M.  2014.  From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71)
Galdran A, Vazquez-Corral J, Pardo D, Bertalmío M.  2015.  Enhanced Variational Image Dehazing. SIAM Journal on Imaging Sciences (SIIMS). VariationalDehazing_EVID_final_LR.pdf (15.17 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)