Jean-Luc Starck

Orcid: 0000-0003-2177-7794

According to our database1, Jean-Luc Starck authored at least 130 papers between 1994 and 2024.

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Bibliography

2024
Ground-based image deconvolution with Swin Transformer UNet.
CoRR, 2024

2023
Wavelets in the Deep Learning Era.
J. Math. Imaging Vis., January, 2023

Deep learning-based deconvolution for interferometric radio transient reconstruction.
CoRR, 2023

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies.
CoRR, 2023

2022
NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction.
IEEE Trans. Medical Imaging, 2022

Hybrid Physical-Neural ODEs for Fast N-body Simulations.
CoRR, 2022

Rethinking data-driven point spread function modeling with a differentiable optical model.
CoRR, 2022

Probabilistic Mass Mapping with Neural Score Estimation.
CoRR, 2022

Lightweight HI source finding for next generation radio surveys.
Astron. Comput., 2022

Statistical and morphological component separation of foregrounds in convolved HI skymaps.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Stable Long-Term Recurrent Video Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model.
CoRR, 2021

Is good old GRAPPA dead?
CoRR, 2021

Density Compensated Unrolled Networks For Non-Cartesian MRI Reconstruction.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data.
IEEE Trans. Big Data, 2020

Semisupervised Dictionary Learning with Graph Regularized and Active Points.
SIAM J. Imaging Sci., 2020

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR, 2020

Denoising Score-Matching for Uncertainty Quantification in Inverse Problems.
CoRR, 2020

XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge.
CoRR, 2020

Manifold attack.
CoRR, 2020

Semi-supervised dictionary learning with graph regularization and active points.
CoRR, 2020

PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing.
Astron. Comput., 2020

Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Unrolled Network for Video Super-Resolution.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Wavelets in the Deep Learning Era.
Proceedings of the 28th European Signal Processing Conference, 2020

2018
Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning.
SIAM J. Imaging Sci., 2018

Semi-supervised dual graph regularized dictionary learning.
CoRR, 2018

On the dissection of degenerate cosmologies with machine learning.
CoRR, 2018

A Distributed Learning Architecture for Scientific Imaging Problems.
CoRR, 2018

Modelling Data with both Sparsity and a Gaussian Random Field: Application to Dark Matter Mass Mapping in Cosmology.
Proceedings of the 26th European Signal Processing Conference, 2018

Dictionary Learning for Photometric Redshift Estimation.
Proceedings of the 26th European Signal Processing Conference, 2018

Analysis vs Synthesis-based Regularization for Combined Compressed Sensing and Parallel MRI Reconstruction at 7 Tesla.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Point Spread Function Field Learning Based on Optimal Transport Distances.
SIAM J. Imaging Sci., 2017

Joint Multichannel Deconvolution and Blind Source Separation.
SIAM J. Imaging Sci., 2017

Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning.
CoRR, 2017

PSF field learning based on Optimal Transport Distances.
CoRR, 2017

A distributed learning architecture for big imaging problems in astrophysics.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Application of non-negative matrix factorization to LC/MS data.
Signal Process., 2016

Constraint matrix factorization for space variant PSFs field restoration.
CoRR, 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016

2015
Starlet Transform in Astronomical Data Processing.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Sparsity and Adaptivity for the Blind Separation of Partially Correlated Sources.
IEEE Trans. Signal Process., 2015

Compressive Video Sensing with Adaptive Measurement Allocation for Improving MPEGx Performance.
Proceedings of the VISAPP 2015, 2015

Compressed sensing and radio interferometry.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
NMF with Sparse Regularizations in Transformed Domains.
SIAM J. Imaging Sci., 2014

Super-resolution method using sparse regularization for point-spread function recovery.
CoRR, 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014

Sparse blind source separation for partially correlated sources.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Compressed sensing reconstruction of convolved sparse signals.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Sparse and Non-Negative BSS for Noisy Data.
IEEE Trans. Signal Process., 2013

Covariation-based subspace-augmented MUSIC for joint sparse support recovery in impulsive environments.
Signal Process., 2013

Astronomical Image Denoising Using Dictionary Learning
CoRR, 2013

Joint reconstruction of compressively sensed ultrasound RF echoes by exploiting temporal correlations.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Sparse redundant formulations and non-negativity in Blind Source Separation.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit.
IEEE Trans. Inf. Theory, 2012

Design of a Compressive Remote Imaging System Compensating a Highly Lightweight Encoding with a Refined Decoding Scheme.
Proceedings of the VISAPP 2012, 2012

Compressive video classification for decision systems with limited resources.
Proceedings of the 2012 Picture Coding Symposium, 2012

Compressive video classification in a low-dimensional manifold with learned distance metric.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing.
IEEE J. Sel. Top. Signal Process., 2011

3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform.
J. Math. Imaging Vis., 2011

Linear inverse problems with various noise models and mixed regularizations.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

Inverse problems with poisson noise: Primal and primal-dual splitting.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Data augmentation for galaxy density map reconstruction.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Source separation in cosmology, from global to local models.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Joint sparse signal ensemble reconstruction in a WSN using decentralized Bayesian matching pursuit.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Light on dark matter with weak gravitational lensing.
IEEE Signal Process. Mag., 2010

Learning the Morphological Diversity.
SIAM J. Imaging Sci., 2010

Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing.
Proc. IEEE, 2010

Image Decomposition and Separation Using Sparse Representations: An Overview.
Proc. IEEE, 2010

MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting.
Comput. Sci. Eng., 2010

Sparse Image and Signal Processing - Wavelets, Curvelets, Morphological Diversity.
Cambridge University Press, ISBN: 978-0-521-11913-9, 2010

2009
Numerical Issues When Using Wavelets.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Curvelets and Ridgelets.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations.
IEEE Trans. Image Process., 2009

Morphological Diversity and Sparsity for Multichannel Data Restoration.
J. Math. Imaging Vis., 2009

Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation.
Entropy, 2009

Inpainting and Zooming Using Sparse Representations.
Comput. J., 2009

Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

An overview of inverse problem regularization using sparsity.
Proceedings of the International Conference on Image Processing, 2009

Monotone operator splitting for optimization problems in sparse recovery.
Proceedings of the International Conference on Image Processing, 2009

Image deconvolution by stein block thresholding.
Proceedings of the International Conference on Image Processing, 2009

Sparsity and morphological diversity for hyperspectral data analysis.
Proceedings of the International Conference on Image Processing, 2009

2008
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal.
IEEE Trans. Image Process., 2008

Wavelet and curvelet moments for image classification: Application to aggregate mixture grading.
Pattern Recognit. Lett., 2008

Compressed Sensing in Astronomy.
IEEE J. Sel. Top. Signal Process., 2008

Deconvolution of confocal microscopy images using proximal iteration and sparse representations.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
The Undecimated Wavelet Decomposition and its Reconstruction.
IEEE Trans. Image Process., 2007

Morphological Component Analysis: An Adaptive Thresholding Strategy.
IEEE Trans. Image Process., 2007

Sparsity and Morphological Diversity in Blind Source Separation.
IEEE Trans. Image Process., 2007

Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging.
Proceedings of the International Conference on Image Processing, 2007

Morphological Diversity and Sparse Image Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2007

Morphological Diversity and Sparsity in Blind Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Morphological diversity and source separation.
IEEE Signal Process. Lett., 2006

Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting.
Neurocomputing, 2006

Multi-Scale Variance Stabilizing Transform for Multi-Dimensional Poisson Count Image Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Enhanced Source Separation by Morphological Component Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Astronomical Image and Data Analysis, Second Edition.
Astronomy and Astrophysics Library, Springer, ISBN: 978-3-540-33024-0, 2006

2005
Wavelet-based combined signal filtering and prediction.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Image Decomposition via the Combination of Sparse Representations and a Variational Approach.
IEEE Trans. Image Process., 2005

A machine vision approach to the grading of crushed aggregate.
Mach. Vis. Appl., 2005

Bayesian inference for multiband image segmentation via model-based cluster trees.
Image Vis. Comput., 2005

Analysis of the Spatial Distribution of Galaxies by Multiscale Methods.
EURASIP J. Adv. Signal Process., 2005

Blind Component Separation in Wavelet Space: Application to CMB Analysis.
EURASIP J. Adv. Signal Process., 2005

Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests.
EURASIP J. Adv. Signal Process., 2005

EM algorithm for sparse representation-based image inpainting.
Proceedings of the 2005 International Conference on Image Processing, 2005

Curvelet transform on the sphere.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
On neuro-wavelet modeling.
Decis. Support Syst., 2004

2003
Gray and color image contrast enhancement by the curvelet transform.
IEEE Trans. Image Process., 2003

Wavelets and curvelets for image deconvolution: a combined approach.
Signal Process., 2003

Quantization from Bayes factors with application to multilevel thresholding.
Pattern Recognit. Lett., 2003

Prediction Based on a Multiscale Decomposition.
Int. J. Wavelets Multiresolution Inf. Process., 2003

Deconvolution based on the curvelet transform.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
The curvelet transform for image denoising.
IEEE Trans. Image Process., 2002

Compression of grayscale scientific and medical image data.
Data Sci. J., 2002

Distributed visual information management in astronomy.
Comput. Sci. Eng., 2002

2001
Astronomical image and signal processing: looking at noise, information and scale.
IEEE Signal Process. Mag., 2001

Multispectral data restoration by the wavelet Karhunen-Loève transform.
Signal Process., 2001

2000
Image processing through multiscale analysis and measurement noise modeling.
Stat. Comput., 2000

Overcoming the Curse of Dimensionality in Clustering by Means of the Wavelet Transform.
Comput. J., 2000

1999
Multiscale entropy filtering.
Signal Process., 1999

Spatial representation of economic and financial measures used in agriculture via wavelet analysis.
Int. J. Geogr. Inf. Sci., 1999

1998
Pattern clustering based on noise modeling in wavelet space.
Pattern Recognit., 1998

Very-high-quality image compression based on noise modeling.
Int. J. Imaging Syst. Technol., 1998

Image Processing and Data Analysis - The Multiscale Approach.
Cambridge University Press, ISBN: 978-0-521-59914-6, 1998

1995
Multiresolution in astronomical image processing: A general framework.
Int. J. Imaging Syst. Technol., 1995

Multiresolution Support Applied to Image Filtering and Restoration.
CVGIP Graph. Model. Image Process., 1995

1994
Filtering and deconvolution by the wavelet transform.
Signal Process., 1994


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