Nelly Pustelnik
Nelly Pustelnik
CNRS researcher, Laboratoire de Physique de l'ENS Lyon
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Cited by
Cited by
Parallel proximal algorithm for image restoration using hybrid regularization
N Pustelnik, C Chaux, JC Pesquet
IEEE transactions on Image Processing 20 (9), 2450-2462, 2011
A parallel inertial proximal optimization method
JC Pesquet, N Pustelnik
Preprint, 2010
Epigraphical projection and proximal tools for solving constrained convex optimization problems
G Chierchia, N Pustelnik, JC Pesquet, B Pesquet-Popescu
Signal, Image and Video Processing 9, 1737-1749, 2015
Nested iterative algorithms for convex constrained image recovery problems
C Chaux, JC Pesquet, N Pustelnik
SIAM Journal on Imaging Sciences 2 (2), 730-762, 2009
Sparse support vector machine for intrapartum fetal heart rate classification
J Spilka, J Frecon, R Leonarduzzi, N Pustelnik, P Abry, M Doret
IEEE journal of biomedical and health informatics 21 (3), 664-671, 2016
A nonlocal structure tensor-based approach for multicomponent image recovery problems
G Chierchia, N Pustelnik, B Pesquet-Popescu, JC Pesquet
IEEE transactions on Image Processing 23 (12), 5531-5544, 2014
Proximal algorithms for multicomponent image recovery problems
LM Briceno-Arias, PL Combettes, JC Pesquet, N Pustelnik
Journal of Mathematical Imaging and Vision 41 (1), 3-22, 2011
Wavelet-based image deconvolution and reconstruction
N Pustelnik, A Benazza-Benhayia, Y Zheng, JC Pesquet
Wiley encyclopedia of electrical and electronics engineering, 2016
Empirical mode decomposition revisited by multicomponent non-smooth convex optimization
N Pustelnik, P Borgnat, P Flandrin
Signal Processing 102, 313-331, 2014
Pursuing automated classification of historic photographic papers from raking light images
CR Johnson, P Messier, WA Sethares, AG Klein, C Brown, AH Do, ...
Journal of the American Institute for Conservation 53 (3), 159-170, 2014
Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization
P Abry, N Pustelnik, S Roux, P Jensen, P Flandrin, R Gribonval, CG Lucas, ...
Plos one 15 (8), e0237901, 2020
A primal-dual algorithm for link dependent origin destination matrix estimation
G Michau, N Pustelnik, P Borgnat, P Abry, A Nantes, A Bhaskar, E Chung
IEEE Transactions on Signal and Information Processing over Networks 3 (1 …, 2016
A multicomponent proximal algorithm for empirical mode decomposition
N Pustelnik, P Borgnat, P Flandrin
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th …, 2012
Relaxing tight frame condition in parallel proximal methods for signal restoration
N Pustelnik, JC Pesquet, C Chaux
IEEE Transactions on Signal Processing 60 (2), 968-973, 2011
Solving inverse problems with overcomplete transforms and convex optimization techniques
L Chaari, N Pustelnik, C Chaux, JC Pesquet
Wavelets XIII 7446, 254-267, 2009
Proximity operator of a sum of functions; application to depth map estimation
N Pustelnik, L Condat
IEEE Signal Processing Letters 24 (12), 1827-1831, 2017
Instantaneous counting of components in nonstationary signals
N Saulig, N Pustelnik, P Borgnat, P Flandrin, V Sucic
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
Nonsmooth convex optimization for structured illumination microscopy image reconstruction
J Boulanger, N Pustelnik, L Condat, L Sengmanivong, T Piolot
Inverse problems 34 (9), 095004, 2018
Semi-linearized proximal alternating minimization for a discrete Mumford–Shah model
M Foare, N Pustelnik, L Condat
IEEE Transactions on Image Processing 29, 2176-2189, 2019
A deep primal-dual proximal network for image restoration
M Jiu, N Pustelnik
IEEE Journal of Selected Topics in Signal Processing 15 (2), 190-203, 2021
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