Laurent Condat - Concepedia

Author

Laurent Condat

GIPSA-Lab ORCID

Also Known As

Annick Montanvert, CONDAT, Laurent, Condat, Laurent, L Condat, L. Condat, Laurent CONDAT, Laurent Condat

163

Publications

3.5K

Citations

H-Index

Concepts

All Affiliations

GIPSA-Lab Centre National de la Recherche Scientifique GREYC Université Grenoble Alpes Institut polytechnique de Grenoble

About

Laurent Condat is an author at GIPSA-Lab specializing in engineering, inverse problems, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	35	2.9K
2	Natural Sciences	6	6	146
3	Health Sciences	5	5	464
4	Medicine	1	1	10
5	Public Health	1	1	165

Laurent Condat

Publications

3.3K

Citations

H-Index

Page 1

	Year	Citations
A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms Laurent Condat Journal of Optimization Theory and Applications Numerical AnalysisPrimal–dual Splitting MethodEngineeringConvex OptimizationConstrained Optimization	2012	910
A Direct Algorithm for 1-D Total Variation Denoising Laurent Condat IEEE Signal Processing Letters Numerical AnalysisMathematical ProgrammingEngineeringVariational AnalysisTotal Variation	2013	341
Fast projection onto the simplex and the $$\pmb {l}_\mathbf {1}$$ l 1 ball Laurent Condat Mathematical Programming Computational GeometryInverse ProblemsSimplex MethodFast Projection	2015	316
Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique Muhammad Murtaza Khan, Jocelyn Chanussot, Laurent Condat, IEEE Geoscience and Remote Sensing Letters EngineeringInduction Scaling TechniqueMultispectral ImagingPan ImageMulti-image Fusion	2008	232
A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors Xiyan He, Laurent Condat, José M. Bioucas‐Dias, IEEE Transactions on Image Processing EngineeringMultispectral ImagingMulti-image FusionSpectral Sparsity PriorsNew Pansharpening Method	2014	165
Discrete Total Variation: New Definition and Minimization Laurent Condat SIAM Journal on Imaging Sciences Mathematical ProgrammingEngineeringVariational AnalysisDiscrete ImageGradient Field	2017	142
A Generic Proximal Algorithm for Convex Optimization—Application to Total Variation Minimization Laurent Condat IEEE Signal Processing Letters Numerical AnalysisImage ReconstructionEngineeringVariational AnalysisTotal Variation	2014	108
A forward-backward view of some primal-dual optimization methods in image recovery Patrick L. Combettes, Laurent Condat, Jean‐Christophe Pesquet, Numerical AnalysisMathematical ProgrammingImage ReconstructionEngineeringMachine Learning	2014	91
Cadzow Denoising Upgraded: A New Projection Method for the Recovery of Dirac Pulses from Noisy Linear Measurements Laurent Condat, Akira Hirabayashi Sampling Theory in Signal and Image Processing Dirac PulsesEngineeringCadzow DenoisingCompressive SensingNew Projection Method	2015	84
Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, EURASIP Journal on Advances in Signal Processing EngineeringMultispectral ImagingHigh Resolution PanchromaticMulti-image FusionImage Analysis	2012	78

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