Publications
Gamut Mapping for Visual Attention Retargeting. Color and Imaging Conference (CIC25).
GM_VisualAttention_CIC2017.pdf (992.14 KB)
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2017. 
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)
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2015. 
Gamut Extension for Cinema. IEEE Transactions on Image Processing.
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2017. From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71)
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2014. Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting.
VSS_supporting_page.pdf (901.01 KB)
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2017. 
Enhanced Variational Image Dehazing. SIAM Journal on Imaging Sciences (SIIMS).
VariationalDehazing_EVID_final_LR.pdf (15.17 MB)
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2015. 
Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception .
PosterECVP.pdf (16.48 MB)
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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)
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2015. 
On the Duality Between Retinex and Image Dehazing. *Accepted* in Computer Vision and Pattern Recognition (CVPR).
ImageDehazing.pdf (4.3 MB)
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2018. 
Derivatives and Inverse of Cascaded Linear+Nonlinear Neural Models. PLOS ONE.
paper.pdf (7.86 MB)
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2017. .
2012. 
Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS).
siimsRR6a.pdf (5.34 MB)
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2013. 
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)
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2014. 
A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing.
DenoisingTIP.pdf (10.26 MB)
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2015. 
On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences (SIIMS).
SIIMS_Denoising.pdf (4 MB)
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2014. 
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)
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2019. 
Correcting for Induction Phenomena on Displays of Differrent Size. Vision Sciences Society Annual Meeting.
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2016. Convolutional Neural Networks Deceived by Visual Illusions. *Accepted* in Computer Vision and Pattern Recognition (CVPR).
CNNillusions.pdf (4.05 MB)
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2019. 
A Contrario Selection of Optimal Partitions for Image Segmentation. SIAM Journal on Imaging Sciences (SIIMS).
SIIMS_final.pdf (2.56 MB)
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2013. 
Considering saliency in a perception inspired gamut reduction algorithm. Color and Imaging Conference.
CIC2014.pdf (3.44 MB)
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2014. 
Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference.
BertalmioRetinex50_EI2016.pdf (152.17 KB)
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2016. 
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)
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2019. 
Color-matching Shots from Different Cameras Having Unknown Gamma or Logarithmic Encoding Curves. SMPTE Annual Technical Conference & Exhibition.
SMPTE2017_GilRaquel.pdf (1.24 MB)
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2017. 
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)
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2014. 
Color matching images with unknown non-linear encodings. *Submitted*.
ColorMatching.pdf (23.15 MB)
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2018. 