Jean-Luc Starck

143 papers A* 2B 8C 1Misc 2Journal 97Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
A plug-and-play approach with fast uncertainty quantification for weak lensing mass mapping.
CoRR
Hubert Leterme, Andreas Tersenov, Jalal Fadili, Jean-Luc Starck
2025 J jnl
CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing.
CoRR
Jianfei Li, Ines Rosellon-Inclan, Gitta Kutyniok, Jean-Luc Starck
2025 J jnl
Joint multi-band deconvolution for Euclid and Vera C. Rubin images.
CoRR
Utsav Akhaury, Pascale Jablonka, Frédéric Courbin, Jean-Luc Starck
2024 J jnl
Ground-based image deconvolution with Swin Transformer UNet.
CoRR
Utsav Akhaury, Pascale Jablonka, Jean-Luc Starck, Frédéric Courbin
2023 J jnl
Deep learning-based deconvolution for interferometric radio transient reconstruction.
CoRR
Benjamin Naoto Chiche, Julien N. Girard, Joana Frontera-Pons, Arnaud Woiselle, Jean-Luc Starck
2023 J jnl
Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies.
CoRR
Tobías I. Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier
2023 J jnl
Wavelets in the Deep Learning Era.
J. Math. Imaging Vis.
Zaccharie Ramzi, Kevin Michalewicz, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu
2022 J jnl
Hybrid Physical-Neural ODEs for Fast N-body Simulations.
CoRR
Denise Lanzieri, François Lanusse, Jean-Luc Starck
2022 J jnl
Lightweight HI source finding for next generation radio surveys.
Astron. Comput.
Emma Tolley, Damien Korber, Aymeric Galan, Austin Peel, M. T. Sargent, Jean-Paul Kneib, Frédéric Courbin, Jean-Luc Starck
2022 J jnl
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction.
IEEE Trans. Medical Imaging
Zaccharie Ramzi, Chaithya G. R., Jean-Luc Starck, Philippe Ciuciu
2022 J jnl
Probabilistic Mass Mapping with Neural Score Estimation.
CoRR
Benjamin Remy, François Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback
2022 J jnl
Rethinking data-driven point spread function modeling with a differentiable optical model.
CoRR
Tobías I. Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier
2022 A* conf
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.
ICLR
Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau
2022 A* conf
Stable Long-Term Recurrent Video Super-Resolution.
CVPR
Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck
2022 — conf
Statistical and morphological component separation of foregrounds in convolved HI skymaps.
SiPS
Yanis Guimard, Ming Jiang, Zhenghao Zhu, Huanyuan Shan, Jalal Fadili, Jean-Luc Starck
2021 J jnl
Deep Unrolled Network for Video Super-Resolution.
CoRR
Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck
2021 — conf
Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction.
ISBI
Zaccharie Ramzi, Jean-Luc Starck, Philippe Ciuciu
2021 J jnl
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction.
CoRR
Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
2021 J jnl
Is good old GRAPPA dead?
CoRR
Zaccharie Ramzi, Alexandre Vignaud, Jean-Luc Starck, Philippe Ciuciu
2021 J jnl
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
2021 J jnl
Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model.
CoRR
Tobías I. Liaudat, Jean-Luc Starck, Martin Kilbinger, Pierre-Antoine Frugier
2021 J jnl
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.
CoRR
Zaccharie Ramzi, Florian Mannel, Shaojie Bai, Jean-Luc Starck, Philippe Ciuciu, Thomas Moreau
2021 J jnl
Stable Long-Term Recurrent Video Super-Resolution.
CoRR
Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck
2020 — conf
Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset.
ISBI
Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
2020 J jnl
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data.
IEEE Trans. Big Data
Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes, Filipe B. Abdalla, Jean-Luc Starck, Panagiotis Tsakalides
2020 — conf
Deep Unrolled Network for Video Super-Resolution.
IPTA
Benjamin Naoto Chiche, Joana Frontera-Pons, Arnaud Woiselle, Jean-Luc Starck
2020 J jnl
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems.
CoRR
Zaccharie Ramzi, Benjamin Remy, François Lanusse, Jean-Luc Starck, Philippe Ciuciu
2020 J jnl
Manifold attack.
CoRR
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck
2020 J jnl
PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing.
Astron. Comput.
Samuel Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya G. R., Sophie Starck, Benoît Sarthou, Hamza Cherkaoui, Philippe Ciuciu, Jean-Luc Starck
2020 J jnl
Semi-supervised dictionary learning with graph regularization and active points.
CoRR
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost
2020 J jnl
Semisupervised Dictionary Learning with Graph Regularized and Active Points.
SIAM J. Imaging Sci.
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Vincent Prost
2020 J jnl
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
2020 — conf
Wavelets in the Deep Learning Era.
EUSIPCO
Zaccharie Ramzi, Jean-Luc Starck, Thomas Moreau, Philippe Ciuciu
2020 J jnl
XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge.
CoRR
Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck
2018 J jnl
A Distributed Learning Architecture for Scientific Imaging Problems.
CoRR
Athanasia Panousopoulou, Samuel Farrens, Konstantina Fotiadou, Arnaud Woiselle, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
2018 — conf
Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla.
EUSIPCO
Hamza Cherkaoui, Loubna El Gueddari, Carole Lazarus, Antoine Grigis, Fabrice Poupon, Alexandre Vignaud, Samuel Farrens, Jean-Luc Starck, Philippe Ciuciu
2018 — conf
Dictionary Learning for Photometric Redshift Estimation.
EUSIPCO
Joana Frontera-Pons, Florent Sureau, Bruno Moraes, Jérôme Bobin, Filipe B. Abdalla, Jean-Luc Starck
2018 — conf
Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology.
EUSIPCO
Konstantinos E. Themelis, François Lanusse, Niall Jeffrey, Austin Peel, Jean-Luc Starck, Filipe B. Abdalla
2018 J jnl
On the dissection of degenerate cosmologies with machine learning.
CoRR
Julian Merten, Carlo Giocoli, Marco Baldi, Massimo Meneghetti, Austin Peel, Florian Lalande, Jean-Luc Starck, Valeria Pettorino
2018 J jnl
Semi-supervised dual graph regularized dictionary learning.
CoRR
Khanh-Hung Tran, Fred Maurice Ngolè Mboula, Jean-Luc Starck
2018 J jnl
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning.
SIAM J. Imaging Sci.
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
2017 — conf
A distributed learning architecture for big imaging problems in astrophysics.
EUSIPCO
Athanasia Panousopoulou, Sammuel Farrens, Yiannis Mastorakis, Jean-Luc Starck, Panagiotis Tsakalides
2017 J jnl
Joint Multichannel Deconvolution and Blind Source Separation.
CoRR
Ming Jiang, Jérôme Bobin, Jean-Luc Starck
2017 J jnl
Joint Multichannel Deconvolution and Blind Source Separation.
SIAM J. Imaging Sci.
Ming Jiang, Jérôme Bobin, Jean-Luc Starck
2017 J jnl
PSF field learning based on Optimal Transport Distances.
CoRR
Fred Maurice Ngolè Mboula, Jean-Luc Starck
2017 J jnl
Point Spread Function Field Learning Based on Optimal Transport Distances.
SIAM J. Imaging Sci.
Fred Maurice Ngolè Mboula, Jean-Luc Starck
2017 J jnl
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning.
CoRR
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel, Fred Maurice Ngolè Mboula, David Coeurjolly, Marco Cuturi, Gabriel Peyré, Jean-Luc Starck
2016 J jnl
Application of non-negative matrix factorization to LC/MS data.
Signal Process.
Jérémy Rapin, Antoine Souloumiac, Jérôme Bobin, Anthony Larue, Christophe Junot, Minale Ouethrani, Jean-Luc Starck
2016 J jnl
Constraint matrix factorization for space variant PSFs field restoration.
CoRR
Fred Maurice Ngolè Mboula, Jean-Luc Starck, Koryo Okumura, Jérôme Amiaux, Patrick Hudelot
2016 J jnl
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR
Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
2015 — conf
Compressed sensing and radio interferometry.
EUSIPCO
M. Jiang, Julien N. Girard, Jean-Luc Starck, S. Corbel, Cyril Tasse
2015 — conf
Compressive Video Sensing with Adaptive Measurement Allocation for Improving MPEGx Performance.
VISAPP (1)
George Tzagkarakis, Panagiotis Tsakalides, Jean-Luc Starck
2015 J jnl
Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources.
IEEE Trans. Signal Process.
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
2015 — ch.
Starlet Transform in Astronomical Data Processing.
Handbook of Mathematical Methods in Imaging
Jean-Luc Starck, Fionn Murtagh, Mario Bertero
2014 Misc conf
Compressed sensing reconstruction of convolved sparse signals.
ICASSP
Grigorios Tsagkatakis, Panagiotis Tsakalides, Arnaud Woiselle, Marc Bousquet, George Tzagkarakis, Jean-Luc Starck
2014 J jnl
NMF with Sparse Regularizations in Transformed Domains.
CoRR
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2014 J jnl
NMF with Sparse Regularizations in Transformed Domains.
SIAM J. Imaging Sci.
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2014 J jnl
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014 B conf
Sparse blind source separation for partially correlated sources.
ICIP
Jérôme Bobin, Jean-Luc Starck, Jérémy Rapin, Anthony Larue
2014 J jnl
Sparsity and adaptivity for the blind separation of partially correlated sources.
CoRR
Jérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck
2014 J jnl
Super-resolution method using sparse regularization for point-spread function recovery.
CoRR
Fred Maurice Ngolè Mboula, Jean-Luc Starck, Samuel Ronayette, Koryo Okumura, Jérôme Amiaux
2013 J jnl
Astronomical Image Denoising Using Dictionary Learning
CoRR
Simon Beckouche, Jean-Luc Starck, Jalal Fadili
2013 J jnl
Covariation-based subspace-augmented MUSIC for joint sparse support recovery in impulsive environments.
Signal Process.
George Tzagkarakis, Panagiotis Tsakalides, Jean-Luc Starck
2013 — conf
Joint reconstruction of compressively sensed ultrasound RF echoes by exploiting temporal correlations.
ISBI
George Tzagkarakis, Alin Achim, Panagiotis Tsakalides, Jean-Luc Starck
2013 J jnl
Sparse and Non-Negative BSS for Noisy Data.
CoRR
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2013 J jnl
Sparse and Non-Negative BSS for Noisy Data.
IEEE Trans. Signal Process.
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2013 — conf
Sparse redundant formulations and non-negativity in Blind Source Separation.
EUSIPCO
Jérémy Rapin, Jérôme Bobin, Anthony Larue, Jean-Luc Starck
2012 C conf
Compressive video classification for decision systems with limited resources.
PCS
George Tzagkarakis, Pavlos Charalampidis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
2012 — conf
Compressive video classification in a low-dimensional manifold with learned distance metric.
EUSIPCO
George Tzagkarakis, Grigorios Tsagkatakis, Jean-Luc Starck, Panagiotis Tsakalides
2012 — conf
Design of a Compressive Remote Imaging System Compensating a Highly Lightweight Encoding with a Refined Decoding Scheme.
VISAPP (1)
George Tzagkarakis, Arnaud Woiselle, Panagiotis Tsakalides, Jean-Luc Starck
2012 J jnl
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit.
IEEE Trans. Inf. Theory
David L. Donoho, Yaakov Tsaig, Iddo Drori, Jean-Luc Starck
2011 J jnl
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform.
J. Math. Imaging Vis.
Arnaud Woiselle, Jean-Luc Starck, Jalal Fadili
2011 B conf
Data augmentation for galaxy density map reconstruction.
ICIP
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
2011 J jnl
Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing.
IEEE J. Sel. Top. Signal Process.
Jean-Luc Starck, Jalal Fadili, Michael Elad, Robert D. Nowak, Panagiotis Tsakalides
2011 B conf
Inverse problems with poisson noise: Primal and primal-dual splitting.
ICIP
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
2011 — conf
Joint sparse signal ensemble reconstruction in a WSN using decentralized Bayesian matching pursuit.
EUSIPCO
George Tzagkarakis, Jean-Luc Starck, Panagiotis Tsakalides
2011 — conf
Linear inverse problems with various noise models and mixed regularizations.
VALUETOOLS
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
2011 B conf
Source separation in cosmology, from global to local models.
ICIP
Jérôme Bobin, Florent Sureau, Jean-Luc Starck
2010 J jnl
Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing.
Proc. IEEE
Jean-Luc Starck, Jérôme Bobin
2010 J jnl
Image Decomposition and Separation Using Sparse Representations: An Overview.
Proc. IEEE
Mohamed-Jalal Fadili, Jean-Luc Starck, Jérôme Bobin, Yassir Moudden
2010 J jnl
Learning the Morphological Diversity.
SIAM J. Imaging Sci.
Gabriel Peyré, Jalal Fadili, Jean-Luc Starck
2010 J jnl
Light on dark matter with weak gravitational lensing.
IEEE Signal Process. Mag.
Sandrine Pires, Jean-Luc Starck, Alexandre Refregier
2010 J jnl
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting.
Comput. Sci. Eng.
Mohamed-Jalal Fadili, Jean-Luc Starck, Michael Elad, David L. Donoho
2010 — book
Sparse Image and Signal Processing - Wavelets, Curvelets, Morphological Diversity.
Jean-Luc Starck, Fionn Murtagh, Mohamed-Jalal Fadili
2009 J jnl
A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations.
IEEE Trans. Image Process.
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
2009 B conf
An overview of inverse problem regularization using sparsity.
ICIP
Jean-Luc Starck, Mohamed-Jalal Fadili
2009 — conf
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
ICA
Yassir Moudden, Jérôme Bobin, Jean-Luc Starck, Jalal Fadili
2009 — ch.
Curvelets and Ridgelets.
Encyclopedia of Complexity and Systems Science
Jalal Fadili, Jean-Luc Starck
2009 B conf
Image deconvolution by stein block thresholding.
ICIP
Christophe Chesneau, Mohamed-Jalal Fadili, Jean-Luc Starck
2009 J jnl
Inpainting and Zooming Using Sparse Representations.
Comput. J.
Mohamed-Jalal Fadili, Jean-Luc Starck, Fionn Murtagh
2009 B conf
Monotone operator splitting for optimization problems in sparse recovery.
ICIP
Mohamed-Jalal Fadili, Jean-Luc Starck
2009 J jnl
Morphological Diversity and Sparsity for Multichannel Data Restoration.
J. Math. Imaging Vis.
Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
2009 — ch.
Numerical Issues When Using Wavelets.
Encyclopedia of Complexity and Systems Science
Jean-Luc Starck, Jalal Fadili
2009 J jnl
Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation
CoRR
Fionn Murtagh, Pedro Contreras, Jean-Luc Starck
2009 J jnl
Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation.
Entropy
Fionn Murtagh, Pedro Contreras, Jean-Luc Starck
2009 B conf
Sparsity and morphological diversity for hyperspectral data analysis.
ICIP
Jérôme Bobin, Yassir Moudden, Jean-Luc Starck, Mohamed-Jalal Fadili
2008 J jnl
Compressed Sensing in Astronomy.
IEEE J. Sel. Top. Signal Process.
Jérôme Bobin, Jean-Luc Starck, Roland Ottensamer
2008 — conf
Deconvolution of confocal microscopy images using proximal iteration and sparse representations.
ISBI
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
2008 Misc conf
Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration.
ICASSP
François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck
2008 J jnl
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
CoRR
Fionn Murtagh, Jean-Luc Starck
2008 J jnl
Wavelet and curvelet moments for image classification: Application to aggregate mixture grading.
Pattern Recognit. Lett.
Fionn Murtagh, Jean-Luc Starck
2008 J jnl
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal.
IEEE Trans. Image Process.
Bo Zhang, Mohamed-Jalal Fadili, Jean-Luc Starck
2007 J jnl
Morphological Component Analysis: An Adaptive Thresholding Strategy.
IEEE Trans. Image Process.
Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho
2007 — conf
Morphological Diversity and Sparse Image Denoising.
ICASSP (1)
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubchir
2007 — conf
Morphological Diversity and Sparsity in Blind Source Separation.
ICA
Jérôme Bobin, Yassir Moudden, Jalal Fadili, Jean-Luc Starck
2007 — conf
Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging.
ICIP (6)
Bo Zhang, Jalal Fadili, Jean-Luc Starck, Jean-Christophe Olivo-Marin
2007 J jnl
Sparsity and Morphological Diversity in Blind Source Separation.
IEEE Trans. Image Process.
Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden
2007 J jnl
The Undecimated Wavelet Decomposition and its Reconstruction.
IEEE Trans. Image Process.
Jean-Luc Starck, Jalal Fadili, Fionn Murtagh
2006 — book
Astronomical Image and Data Analysis, Second Edition.
Jean-Luc Starck, Fionn Murtagh
2006 — conf
Enhanced Source Separation by Morphological Component Analysis.
ICASSP (5)
Jérôme Bobin, Yassir Moudden, Jean-Luc Starck
2006 J jnl
Morphological diversity and source separation.
IEEE Signal Process. Lett.
Jérôme Bobin, Yassir Moudden, Jean-Luc Starck, Michael Elad
2006 — conf
Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising.
ICASSP (2)
Bo Zhang, Mohamed-Jalal Fadili, Jean-Luc Starck
2006 J jnl
Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting.
Neurocomputing
Djamel Benaouda, Fionn Murtagh, Jean-Luc Starck, Olivier Renaud
2005 J jnl
A machine vision approach to the grading of crushed aggregate.
Mach. Vis. Appl.
Fionn Murtagh, Xiaoyu Qiao, Danny Crookes, Paul Walsh, P. A. M. Basheer, Adrian Long, Jean-Luc Starck
2005 J jnl
Analysis of the Spatial Distribution of Galaxies by Multiscale Methods.
EURASIP J. Adv. Signal Process.
Jean-Luc Starck, Vicent J. Martínez, David L. Donoho, O. Levi, Philippe Querre, Enn Saar
2005 J jnl
Bayesian inference for multiband image segmentation via model-based cluster trees.
Image Vis. Comput.
Fionn Murtagh, Adrian E. Raftery, Jean-Luc Starck
2005 J jnl
Blind Component Separation in Wavelet Space: Application to CMB Analysis.
EURASIP J. Adv. Signal Process.
Yassir Moudden, Jean-François Cardoso, Jean-Luc Starck, Jacques Delabrouille
2005 J jnl
Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests.
EURASIP J. Adv. Signal Process.
Jiashun Jin, Jean-Luc Starck, David L. Donoho, Nabila Aghanim, Olivier Forni
2005 — conf
Curvelet transform on the sphere.
ICIP (1)
Pierrick Abrial, Jean-Luc Starck, Yassir Moudden, Maï K. Nguyen
2005 — conf
EM algorithm for sparse representation-based image inpainting.
ICIP (2)
Mohamed-Jalal Fadili, Jean-Luc Starck
2005 J jnl
Image Decomposition via the Combination of Sparse Representations and a Variational Approach.
IEEE Trans. Image Process.
Jean-Luc Starck, Michael Elad, David L. Donoho
2005 J jnl
Wavelet-based combined signal filtering and prediction.
IEEE Trans. Syst. Man Cybern. Part B
Olivier Renaud, Jean-Luc Starck, Fionn Murtagh
2004 J jnl
On neuro-wavelet modeling.
Decis. Support Syst.
Fionn Murtagh, Jean-Luc Starck, Olivier Renaud
2003 — conf
Deconvolution based on the curvelet transform.
ICIP (2)
Jean-Luc Starck, Maï K. Nguyen, Fionn Murtagh
2003 J jnl
Gray and color image contrast enhancement by the curvelet transform.
IEEE Trans. Image Process.
Jean-Luc Starck, Fionn Murtagh, Emmanuel J. Candès, David L. Donoho
2003 J jnl
Prediction Based on a Multiscale Decomposition.
Int. J. Wavelets Multiresolution Inf. Process.
Olivier Renaud, Jean-Luc Starck, Fionn Murtagh
2003 J jnl
Quantization from Bayes factors with application to multilevel thresholding.
Pattern Recognit. Lett.
Fionn Murtagh, Jean-Luc Starck
2003 J jnl
Wavelets and curvelets for image deconvolution: a combined approach.
Signal Process.
Jean-Luc Starck, Maï K. Nguyen, Fionn Murtagh
2002 J jnl
Compression of grayscale scientific and medical image data.
Data Sci. J.
Fionn Murtagh, Mireille Louys, Jean-Luc Starck, François Bonnarel
2002 J jnl
Distributed visual information management in astronomy.
Comput. Sci. Eng.
Fionn Murtagh, Jean-Luc Starck, Mireille Louys
2002 J jnl
The curvelet transform for image denoising.
IEEE Trans. Image Process.
Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho
2001 J jnl
Astronomical image and signal processing: looking at noise, information and scale.
IEEE Signal Process. Mag.
Jean-Luc Starck, Fionn Murtagh
2001 J jnl
Multispectral data restoration by the wavelet Karhunen-Loève transform.
Signal Process.
Jean-Luc Starck, P. Querre
2000 J jnl
Image processing through multiscale analysis and measurement noise modeling.
Stat. Comput.
Fionn Murtagh, Jean-Luc Starck
2000 J jnl
Overcoming the Curse of Dimensionality in Clustering by Means of the Wavelet Transform.
Comput. J.
Fionn Murtagh, Jean-Luc Starck, Michael W. Berry
1999 J jnl
Multiscale entropy filtering.
Signal Process.
Jean-Luc Starck, Fionn Murtagh
1999 J jnl
Spatial representation of economic and financial measures used in agriculture via wavelet analysis.
Int. J. Geogr. Inf. Sci.
Mitchel Morehart, Fionn Murtagh, Jean-Luc Starck
1998 — book
Image Processing and Data Analysis - The Multiscale Approach.
Jean-Luc Starck, Fionn Murtagh, Albert Bijaoui
1998 J jnl
Pattern clustering based on noise modeling in wavelet space.
Pattern Recognit.
Fionn Murtagh, Jean-Luc Starck
1998 J jnl
Very-high-quality image compression based on noise modeling.
Int. J. Imaging Syst. Technol.
Fionn Murtagh, Jean-Luc Starck, Mireille Louys
1995 J jnl
Multiresolution Support Applied to Image Filtering and Restoration.
CVGIP Graph. Model. Image Process.
Jean-Luc Starck, Fionn Murtagh, Albert Bijaoui
1995 J jnl
Multiresolution in astronomical image processing: A general framework.
Int. J. Imaging Syst. Technol.
Fionn Murtagh, Jean-Luc Starck, Albert Bijaoui
1994 J jnl
Filtering and deconvolution by the wavelet transform.
Signal Process.
Jean-Luc Starck, Albert Bijaoui