Publications
Export 89 results:
Author [ Title
] Type Year Filters: Author is Marcelo Bertalmío [Clear All Filters]
.
2016. High quality video in high dynamic range scenes from interlaced dual-ISO footage. IS&T Electronic Imaging Conference. 
dualISO (1).pdf (32.27 MB)
dualISO (1).pdf (32.27 MB).
2013. Harmonic Flow for Histogram Matching. Geometric Computation for Computer Vision GCCV, Guanajuato, Mexico. GCCV2013.pdf (3.6 MB)
GCCV2013.pdf (3.6 MB).
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)
Manuscript.pdf (2.42 MB).
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)
CameraReady_Paper.pdf (2.04 MB).
2017. Gamut Reduction Through Local Saturation Reduction. Color and Imaging Conference (CIC25). GamutReduction_KBR.pdf (1.71 MB)
GamutReduction_KBR.pdf (1.71 MB).
2013. Gamut Mapping through Perceptually-based Contrast Reduction. 6th Pacific-Rim Symposium on Image and Video Technology. GM-PSIVT2013.pdf (1.41 MB)
GM-PSIVT2013.pdf (1.41 MB).
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)
GM-Jstsp.pdf (30.26 MB).
2017. Gamut Mapping for Visual Attention Retargeting. Color and Imaging Conference (CIC25). GM_VisualAttention_CIC2017.pdf (992.14 KB)
GM_VisualAttention_CIC2017.pdf (992.14 KB).
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)
GamutExtension_EI2015.pdf (3.9 MB).
2017. Gamut Extension for Cinema. IEEE Transactions on Image Processing.
.
2014. From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71)
.
2017. Explaining 'Crispening' as a Gain Control Mechanism.. Vision Sciences Society Annual Meeting. VSS_supporting_page.pdf (901.01 KB)
VSS_supporting_page.pdf (901.01 KB).
2020. Evidence for the intrinsically nonlinear nature of receptive fields in vision. Scientific reports. NLreceptiveFields.pdf (2.65 MB)
NLreceptiveFields.pdf (2.65 MB).
2015. Enhanced Variational Image Dehazing. SIAM Journal on Imaging Sciences (SIIMS). VariationalDehazing_EVID_final_LR.pdf (15.17 MB)
VariationalDehazing_EVID_final_LR.pdf (15.17 MB).
2015. Dynamic range, light scatter in the eye and perceived image quality. European Conference on Visual Perception . PosterECVP.pdf (16.48 MB)
PosterECVP.pdf (16.48 MB).
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)
CameraReady.pdf (858.33 KB).
2018. On the Duality Between Retinex and Image Dehazing. *Accepted* in Computer Vision and Pattern Recognition (CVPR). ImageDehazing.pdf (4.3 MB)
ImageDehazing.pdf (4.3 MB).
2017. Derivatives and Inverse of Cascaded Linear+Nonlinear Neural Models. PLOS ONE. paper.pdf (7.86 MB)
paper.pdf (7.86 MB).
2013. Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS). siimsRR6a.pdf (5.34 MB)
siimsRR6a.pdf (5.34 MB).
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)
icisp00.pdf (6.88 MB).
2015. A Decomposition Framework for Image Denoising Algorithms. IEEE Transactions on Image Processing. DenoisingTIP.pdf (10.26 MB)
DenoisingTIP.pdf (10.26 MB).
2014. On Covariant Derivatives and Their Applications to Image Regularization. SIAM Journal on Imaging Sciences (SIIMS). SIIMS_Denoising.pdf (4 MB)
SIIMS_Denoising.pdf (4 MB).
2020. Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. Journal of Mathematical Imaging and Vision. contrastPerception.pdf (1.68 MB)
contrastPerception.pdf (1.68 MB).
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)
ContrastPerception.pdf (669.04 KB)