Publications

Export 83 results:
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
G
Ghimpeteanu G, Batard T, Seybold T, Bertalmío M.  2016.  Local denoising applied to RAW images may outperform non-local patch-based methods applied to the camera output. IS&T Electronic Imaging Conference. DenoisingEI2016.pdf (2.09 MB)
Ghimpeteanu G, Kane D, Batard T, Levine S, Bertalmío M.  2016.  Local Denoising Based on Curvature Smoothing can Visually Outperform Non-local Methods on Photographs with Actual Noise. IEEE International Conference on Image Processing. DenoisingICIP2016.pdf (1.9 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)
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)
Galdran A, Vazquez-Corral J, Pardo D, Bertalmío M.  2014.  A variational Framework for Single Image Dehazing. European Conference on Computer Vision Workshops . Galdranetaleccvw.pdf (9.65 MB)
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)
C
Cyriac P, Kane D, Bertalmío M.  2015.  Perceptual Dynamic Range for In-Camera Image Processing. British Machine Vision Conference (BMVC). tonemapping_bmvc.pdf (4.59 MB)
Cyriac P, Batard T, Bertalmío M.  2013.  A Variational Method for the Optimization of Tone Mapping Operators. 6th Pacific-Rim Symposium on Image and Video Technology, Guanajuato, Mexico. TM_PSIVT2013.pdf (5.87 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)
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)
Cyriac P, Kane D, Bertalmío M.  2016.  Optimized Tone Curve for In-Camera Image Processing. IS&T Electronic Imaging Conference. EI16_tmo.pdf (9.55 MB)
Cyriac P, Bertalmío M, Kane D, Vazquez-Corral J.  2015.  A Tone Mapping Operator Based on Neural and Psychophysical Models of Visual Perception. Proc. SPIE Human Vision and Electronic Imaging XX. ToneMappingSPIE.pdf (3.59 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)
B
Bertalmío M.  2014.  Image Processing for Cinema. Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series.
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)
Bertalmío M.  2014.  From Image Processing to Computational Neuroscience: A Neural Model Based on Histogram Equalization. Frontiers in Computational Neuroscience. 8(71)
Bertalmío M, Levine S.  2012.  "Denoising an image by denoising its curvature image", IMA Preprint.
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)
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)
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)
Bertalmío M.  2016.  Connections between Retinex, neural models and variational methods. IS&T Electronic Imaging Conference. BertalmioRetinex50_EI2016.pdf (152.17 KB)
Bertalmío M, Levine S.  2013.  Denoising an Image by Denoising its Curvature Image. SIAM Journal on Imaging Sciences (SIIMS). siimsRR6a.pdf (5.34 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)
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)

Pages