Machine/Deep/Dictionary Learning  Optimal Transport Wavelets Ridgelet, Curvelets Compressed Sensing Morphological Diversity Inpainting Blind Source Separation Multi/Hyper-spectral Data Spherical Data

Deconvolution, Super-resolution Detection Texture Analysis Segmentation, Clustering Noise modeling  Poisson noise Compression Time Series Entropy Spectral Analysis

Machine/Deep/Dictionary Learning:

• Z. Ramzi, J. -L. Starck, T. Moreau and P. Ciuciu, "Wavelets in the Deep Learning Era",  Journal of Mathematical Imaging and Vision, 1-12., 2022.
• U. Akhaury, J.-L. Starck, P. Jablonka, F. Courbin and K. Michalewicz, Deep Learning-based galaxy image deconvolution", Frontiers in Astronomy and Space Sciences, 9:1001043. doi: 10.3389/fspas.2022.1001043, 2022.
• B. Remy, F. Lanusse, N. Jeffrey, J. Liu, J-L Starck, K. Osato, T. Schrabback, "Probabilistic Mass Mapping with Neural Score Estimation",   in press, 2023.
• F. Nammour et al, "ShapeNet: Shape Constraint for Galaxy Image Deconvolution", Astronomy and Astrophysics, 663, id.A692022, 2022.
• B. Naoto Chiche, J. Frontera-Pons, A. Woiselle and J.-L. Starck,  "Deep Unrolled Network for Video Super-Resolution," 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Paris, 2020, pp. 1-6, doi: 10.1109/IPTA50016.2020.9286636.
• Z. Remy, F. Lanusse, Z. Ramzi, J. Liu, N. Jeffrey,  J.-L. Starck, "Probabilistic Mapping of Dark Matter by Neural Score Matching", NeurIPS 2019 Machine Learning and the Physical Sciences, 2020.
• K.-J. Tran, F.-M. Ngole-Mboula, J.-L. Starck, "Semisupervised Dictionary Learning with Graph Regularized and Active Points", SIAM Journal on Imaging Sciences, Vol. 13, No. 2, pp. 724-745, 2020. DOI. 10.1137/19M1285469
• Z. Ramzi, P. Ciuciu and J.-L. Starck. “Benchmarking MRI reconstruction neural networks on large public datasets”, Applied Sciences, 10, 1816, 2020.  doi:10.3390/app10051816
• F. Sureau,  A. Lechat and  J.-L. Starck, "Deep Learning for space-variant deconvolution in galaxy surveys", Astronomy and Astrophysics, 641, A67, 2020.
• R. Stivaktakis et al,  "Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data",  IEEE Transactions on Big Data,  1, 5555, 2019.  doi: 10.1109/TBDATA.2019.2934475. DOI: 10.1109/TBDATA.2019.2934475
• N. Jeffrey, F.  Lanusse, O. Lahav1, J.-L. Starck,  "Learning dark matter map reconstructions from DES SV weak lensing data", Monthly Notices of the Royal Astronomical Society, 492, 4, p.5023-5029, 2020. doi:  10.1093/mnras/staa127
• A. Peel. F. Lalande, J.-L. Starck, et al, "A machine learning approach to breaking degeneracies in modified gravity with massive neutrinos",  Physical Review D, 100, 023508, 2019.
• J. Merten et al, "On the dissection of degenerate cosmologies with machine learning", Monthly Notices of the Royal Astronomical Society, 961 , 2019. DOI: 10.1093/mnras/stz972
• F. Sureau, F. Voigtlaender,  M. Wust, J.-L, Starck and G. Kutyniok., "Learning sparse representations on the sphere", Astronomy and Astrophysics, 621, id.A73, 17 , 2019.
• N. Panousopoulou et al, "A Distributed Learning Architecture for Scientific Imaging Problems", Knowledge-Based Systems, submitted, 2019.
• M. A. Schmitz, M. Heitz, N. Bonneel, F.M. Ngolè, D. Coeurjolly, M. Cuturi, G. Peyre, and J.-L. Starck,  "Wasserstein Dictionary Learning:Optimal Transport-based unsupervised representation learning", SIAM Journal on Imaging Sciences, 11(1), 643–678, 2018. https://doi.org/10.1137/17M1140431.
• S. Beckouche, J.-L. Starck, G. Peyre and J. Fadili, "Astronomical Image Denoising using Dictionary Learning", Astronomy and Astrophysics , 556, id.A132, pp 14, 2013.
• G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
• F. Murtagh, J.-L. Starck and O. Renaud, "On Neuro-Wavelet Modeling" , Decision Support Systems Journal, 37, 475-484, 2004.

Optimal Transport:

•  F.M. Ngolè Mboula, and J.-L. Starck,  "PSFs field learning based on Optimal Transport distances",  SIAM Journal on Imaging Sciences, 10,  3,  pp. 979-1004, 2017. DOI: 10.1137/16M1093677.
• M. A. Schmitz, M. Heitz, N. Bonneel, F.M. Ngolè, D. Coeurjolly, M. Cuturi, G. Peyre, and J.-L. Starck,  "Wasserstein Dictionary Learning:Optimal Transport-based unsupervised representation learning", SIAM Journal on Imaging Sciences, 11(1), 643–678, 2018. https://doi.org/10.1137/17M1140431.

Wavelets:

• Z. Ramzi, J. -L. Starck, T. Moreau and P. Ciuciu, "Wavelets in the Deep Learning Era",  submitted, 2022.
• F. Lanusse,A. Rassat,and J.-L. Starck, "Spherical 3D Isotropic Wavelets", Astronomy and Astrophysics , 540, A92, 2012.
• J. Schmitt, J.L. Starck, J.M. Casandjian, J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope, Astronomy and Astrophysics , 546, id.A114, pp10, 2012.
• E. Deriaz, J.-L. Starck, and S. Pires, "Wavelet Helmholtz decomposition for Weak Lensing mass map reconstruction" , 534, A34, 2012.
• M.J. Fadili, J.-L. Starck, "Curvelets and Ridgelets" , in Encyclopedia of Complexity and Systems Science , Meyers, Robert (Ed.), Vol 3, pp 1718-1738, Springer New York, 2009.
• J.-L. Starck and M.J. Fadili, "Numerical Issues When Using Wavelets" , in Encyclopedia of Complexity and Systems Science , Meyers, Robert (Ed.) , Vol 14, pp 6352-6368. Springer New York, 2009.
• J.-L. Starck, J. Fadili and F. Murtagh, "The Undecimated Wavelet Decomposition and its Reconstruction", IEEE Transaction on Signal Processing , 16, 2, pp 297--309, 2007.
• J.-L. Starck, M. Elad, and D.L. Donoho, "Redundant Multiscale Transforms and their Application for Morphological Component Analysis", Advances in Imaging and Electron Physics , 132, 2004.
• J-L. Starck, "Non Linear Multiscale Transforms" , in Multiscale and Multiresolution Methods, T.J. Barth, T. Chan and R. Haimes (Eds), Springer, pp 239--278, 2002.
• F. Murtagh and J.L. Starck, "Multiscale image and data analysis", in Encyclopedia of Microcomputers, Volume 26, Supplement 5, A. Kent and J.G. Williams, Eds., pp. 201--226, Marcel Dekker, 2001
• F. Murtagh and J.L. Starck, "Wavelets and Multiscale Transforms in Massive Data Sets", in Handbook of Massive Data Sets, J. Abello, P.M. Pardalos, and M.G.C. Resende Editors, Kluwer Academic Publishers, pp 473--500, 2002.
• F. Murtagh and J.L. Starck, "Multiscale Image and Data Analysis", in A. Kent and J.G. Williams, Eds., Enclyclopedia of Microcomputers, Volume 26, Supplement 5, A Kent and JG Williams, Eds., pp. 201--226, M. Dekker, 2000.
• Murtagh, F., Starck, J.-L. and Bijaoui, A., "Multiresolution in astronomical image processing: a general framework", International Journal of Imaging Systems and Technology, 6, 332-338, 1995. 

Beyond wavelets: Ridgelet, Curvelet, Dictionary Learning:

• F. Lanusse, J.-L. Starck, A. Woiselle and M.J. Fadili , "3D Sparse Representations", Advances in Imaging and Electron Physics, Academic Press: Elsevier Inc, pp. 99, 204, 2014.
• S. Beckouche, J.-L. Starck, G. Peyre and J. Fadili, "Astronomical Image Denoising using Dictionary Learning", Astronomy and Astrophysics , 556, id.A132, pp 14, 2013.
• J.-L. Starck, D.L. Donoho, M.J. Fadili and A. Rassat, "Sparsity and the Bayesian Perspective", Astronomy and Astrophysics , 552, A133, 2013.
• A. Woiselle, J.L. Starck, M.J. Fadili, "3D Data Denoising and Inpainting with the Fast Curvelet transform", J. of Mathematical Imaging and Vision (JMIV), 39, 2, pp 121-139, 2011.
• J. Schmitt, J.L. Starck, J.M. Casandjian, M.J. Fadili, I. Grenier, "Poisson Denoising on the Sphere: Application to the Fermi Gamma Ray Space Telescope", Astronomy and Astrophysics, 517, A26, 2010.
• A. Woiselle, J.L. Starck and M.J. Fadili, "3D curvelet transforms and astronomical data restoration", Applied and Computational Harmonic Analysis, Vol. 28, No. 2, pp. 171-188, 2010.
• G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
• M.J. Fadili, J.-L. Starck, "Curvelets and Ridgelets" , in Encyclopedia of Complexity and Systems Science , Meyers, Robert (Ed.), Vol 3, pp 1718-1738, Springer New York, 2009.
• J.-L. Starck, Y. Moudden and J. Bobin, "Polarized Wavelets and Curvelets on the Sphere", Astronomy and Astrophysics, 497, pp 931--943, 2009.
• B. Zhang, M.J. Fadili and J.-L. Starck, "Wavelets, Ridgelets and Curvelets for Poisson Noise Removal" , IEEE Transactions on Image Processing , Vol 17, No 7, pp 1093--1108, 2008.
• J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden, "Sparsity, Morphological Diversity and Blind Source Separation" , IEEE Transactions on Image Processing , Vol 16, No 11, pp 2662-2674, 2007.
• J.-L. Starck, M. Elad, and D.L. Donoho, "Redundant Multiscale Transforms and their Application for Morphological Component Analysis", Advances in Imaging and Electron Physics , 132, 2004.
• J.-L. Starck, E. Candes, and D.L. Donoho, "Astronomical Image Representation by the Curvelet Tansform" , Astronomy and Astrophysics, 398, 785--800, 2003.
• J.-L. Starck, M.K. Nguyen and F. Murtagh, "Wavelets and Curvelets for Image Deconvolution: a Combined Approach", Signal Processing, 83, 10, pp 2279-2283, 2003.
• J.-L. Starck, F. Murtagh, E. Candes, and D.L. Donoho, "Gray and Color Image Contrast Enhancement by the Curvelet Transform", IEEE Transaction on Image Processing, 12, 6, pp 706--717, 2003.
• J.L. Starck, E. Candes, and D.L. Donoho, "The Curvelet Transform for Image Denoising", IEEE Transactions on Image Processing , 11, 6, pp 670 -684, 2002.

Morphological Diversity:

• G. Tzagkarakis, E. Pavlopoulou, J. Fadili, G. Hadziioannou and J.-L. Starck, "Morphological Component Analysis for the Inpainting of Grazing Incidence X-Ray Diffraction Images Used for the Structural Characterization of Thin Films" , Oil & Gas Science and Technology-Rev. IFP Energies Nouvelles , Special issue on "Advances in Signal and Image proc. for Physico-Chemical. Physical or Analytical Chemistry Analysis, 2012.
• M.J. Fadili, J.-L. Starck, M. Elad and D.L. Donoho, , "MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting", , IEEE Computing in Science and Engineering, 12, 1, pp 44 - 63, 2010.
• M.J. Fadili and J.-L. Starck, "Image decomposition and separation using sparse representations: an overview" , Proceedings of the IEEE Special Issue on: Applications of Sparse Representation and Compressive Sensing, Vol. 98, No. 6, pp. 983?994, 2010.
• G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
• J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden, "Blind Source Separation: The Sparsity Revolution", Advances in Imaging and Electron Physics , Vol 152, pp 221 -- 306, 2008.
• J. Bobin, Y. Moudden, M.J. Fadili and Y. Moudden, "Morphological Diversity and Sparsity for Multichannel Data Restoration" , Journal of Mathematical Imaging and Vision , Vol. 33, No. 2, pp. 149-168, 2009.
• P. Abrial, Y. Moudden, J.L. Starck, J. Bobin, M.J. Fadili, B. Afeyan and M. Nguyen, "Morphological Component Analysis and Inpainting on the Sphere: Application in Physics and Astrophysics" , Journal of Fourier Analysis and Applications (JFAA), special issue on ``Analysis on the Sphere'', 13, 6, pp 729-748, 2007.
• J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden, "Sparsity, Morphological Diversity and Blind Source Separation" , Vol 16, No 11, pp 2662-2674, 2007.
• J. Bobin, J.-L. Starck J. Fadili, Y. Moudden and D.L Donoho, "Morphological Component Analysis: an adaptative thresholding strategy", IEEE Transactions on Image Processing , Vol 16, No 11, pp 2675--2681, 2007.
• J. Bobin, Y. Moudden, J.-L. Starck and M. Elad, "Morphological Diversity and Source Separation", IEEE Transaction on Signal Processing , Vol 13, 7, pp 409--412, 2006.
• J.-L. Starck, M. Elad, and D.L. Donoho, "Image Decomposition Via the Combination of Sparse Representation and a Variational Approach", IEEE Transaction on Image Processing , 14, 10, pp 1570--1582, 2005 .
• J.-L. Starck, M. Elad, and D.L. Donoho, "Redundant Multiscale Transforms and their Application for Morphological Component Analysis", Advances in Imaging and Electron Physics , 132, 2004.

Compressed Sensing:

• H. Garsden, J. Girard, J.-L. Starck, S. Corbel, C. Tasse et al, "LOFAR Sparse Image Reconstruction", Astronomy and Astrophysics, 575, A90, 2015.
• M. Sauvage et al, "The science case and data processing strategy for the Thinned Aperture Light Collector (TALC): a project for a 20m far-infrared space telescope", SPIE,  91431B, SPIE.9143, 2014.
• A. Leonard, F.X. Dupe, and J.-L. Starck, "A Compressed Sensing Approach to 3D Weak Lensing" , Astronomy and Astrophysics , 539, A85, 2012.
• D.-L. Donoho, Y. Tsaig, I. Drori, J.-L. Starck: "Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit" , IEEE Transactions on Information Theory , 58(2): 1094-1121, 2012.
• G. Tzagkarakis, A. Woiselle, P. Tsakalides and J.-L. Starck, "Design of a Compressive Remote Imaging System Compensating a Highly Lightweight Encoding with a Refined Decoding Scheme," in Proc. International Conference on Computer Vision Theory and Applications (VISAPP '12), Rome, Italy, Feb. 24-26, 2012.
• G. Tzagkarakis, P. Charalampidis, G. Tsagkatakis, J.-L. Starck and P. Tsakalides, "Design of a Compressive Remote Imaging System Compensating a Highly Lightweight Encoding with a Refined Decoding Scheme,", in Proc. International Conference on Computer Vision Theory and Applications (VISAPP '12), Rome, Italy, Feb. 24-26, 2012.
• G. Tzagkarakis, P. Charalampidis, G. Tsagkatakis, J.-L. Starck and P. Tsakalides, "Compressive Video Classification for Decision Systems with Limited Resources", in Proc. 29th Picture Coding Symposium (PCS '12), Krakow, Poland, May 7-9, 2012.
• G. Tzagkarakis, P. Tsakalides and J.-L. Starck, "Covariation-based Subspace-Augmented MUSIC for Joint Sparse Support Recovery in Impulsive Environments," , Signal Processing, Vol.93, Issue 5, pp.1365-1373, May 2013 (doi: 10.1016/j.sigpro.2012.11.021).
• N. Barbey, M.Sauvage, J.-L. Starck, and R. Ottensamer, "Feasibility and performances of compressed-sensing and sparse map-making with Herschel/PACS data", Astronomy and Astrophysics, 527, 102 , 2011.
• J.-L. Starck and J. Bobin, "Astronomical Data Analysis and Sparsity: from Wavelets to Compressed Sensing" , Proceedings of the IEEE Special Issue on: Applications of Sparse Representation and Compressive Sensing, Vol. 98, No. 6, pp 1021-1030, 2010.
• J. Bobin and J.-L. Starck, , Compressed Sensing in astronomy and remote sensing: a data fusion perspective , SPIE proceedings , 2009.
• J. Bobin, J.-L. Starck, and R. Ottensamer, "Compressed Sensing in Astronomy" , IEEE Journal of Selected Topics in Signal Processing , Vol 2, no 5, pp 718--726, 2008. 

Inpainting:

• J.-L. Starck, A. Rassat, and M.J. Fadili, "Low-l CMB Analysis and Inpainting", Astronomy and Astrophysics , 550, A15, 2013.
• G. Tzagkarakis, E. Pavlopoulou, J. Fadili, G. Hadziioannou and J.-L. Starck, "Morphological Component Analysis for the Inpainting of Grazing Incidence X-Ray Diffraction Images Used for the Structural Characterization of Thin Films" , Oil & Gas Science and Technology-Rev. IFP Energies Nouvelles , Special issue on "Advances in Signal and Image proc. for Physico-Chemical. Physical or Analytical Chemistry Analysis, 2012.
• K.H. Sato et al, "Inpainting: A powerful interpolation technique for helio- and asteroseismic data", arXiv:1003.5178v2 , 2010.
• G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
•  M.J. Fadili, J.-L. Starck and F. Murtagh, "Inpainting and Zooming using Sparse Representations" , The Computer Journal , 52, 1, pp 64-79, 2009.
• J. Bobin, Y. Moudden, M.J. Fadili and Y. Moudden, "Morphological Diversity and Sparsity for Multichannel Data Restoration" , Journal of Mathematical Imaging and Vision , Vol. 33, No. 2, pp. 149-168, 2009.
•  P. Abrial, Y. Moudden, J.L. Starck, J. Bobin, M.J. Fadili, B. Afeyan and M. Nguyen, "Morphological Component Analysis and Inpainting on the Sphere: Application in Physics and Astrophysics" , Journal of Fourier Analysis and Applications (JFAA), special issue on ``Analysis on the Sphere'', 13, 6, pp 729-748, 2007.
• M. Elad, J.-L Starck, D. Donoho and P. Querre, "Simultaneous Cartoon and Texture Image Inpainting using Morphological Component Analysis (MCA)", Journal on Applied and Computational Harmonic Analysis ACHA , Vol. 19, pp. 340-358, November 2005.

Data on the Sphere :

• F. Sureau, F. Voigtlaender,  M. Wust, J.-L, Starck and G. Kutyniok., "Learning sparse representations on the sphere", Astronomy and Astrophysics, 621, id.A73, 17 , 2019.
• J.Bobin, F. Sureau and J.-L. Starck, "Polarized CMB recovery with sparse component separation", Astronomy and Astrophysics, 583, id.A92, pp 12, 2015.
• F. Lanusse,A. Rassat,and J.-L. Starck, "Spherical 3D Isotropic Wavelets", Astronomy and Astrophysics , 540, A92, 2012.
• B. Leistedt, A. Rassat, A. Refregier, and J.-L. Starck, "3DEX: a code for Fast Fourier-Bessel Decomposition of Spherical 3D Surveys", Astronomy and Astrophysics , 540, A60, 2012.
•  J. Schmitt, J.L. Starck, J.M. Casandjian, J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope, Astronomy and Astrophysics , 546, id.A114, pp10, 2012.
• J. Schmitt, J.L. Starck, J.M. Casandjian, M.J. Fadili, I. Grenier, "Poisson Denoising on the Sphere: Application to the Fermi Gamma Ray Space Telescope", Astronomy and Astrophysics, 517, A26, 2010.
• J.-L. Starck, Y. Moudden and J. Bobin, "Polarized Wavelets and Curvelets on the Sphere", Astronomy and Astrophysics, 497, pp 931--943, 2009.
• P. Abrial, Y. Moudden, J.L. Starck, J. Bobin, M.J. Fadili, B. Afeyan and M. Nguyen, "Morphological Component Analysis and Inpainting on the Sphere: Application in Physics and Astrophysics" , Journal of Fourier Analysis and Applications (JFAA), special issue on ``Analysis on the Sphere'', 13, 6, pp 729-748, 2007.
• J.-L Starck, Y. Moudden, P. Abrial and M. Nguyen, "Wavelets, Ridgelets and Curvelets on the Sphere", Astronomy and Astrophysics, 446, 1191-1204, 2006. 

Blind Source Separation:

• M. Jiang, J. Bobin and J.-L. Starck, "Joint Multichannel Deconvolution and Blind Source Separation",  SIAM Journal on Imaging Sciences, 10, 4, pp. 1997-2021, 2017. https://doi.org/10.1137/16M1103713
• J. Bobin, F. Sureau and J.-L. Starck, "CMB reconstruction from the WMAP and Planck PR2 data", Astronomy and Astrophysics, 591, id.A50, 12 pp, 2016.
• F. M. Ngolè Mboula, J.-L. Starck, K. Okomura, J. Amiaux, P. Hudelot. "Constraint matrix factorization for space variant PSFs field restoration", Inverse Problems, 32, 12, 2016.
• J.Bobin , J. Rapin, J.L. Starck and A. Larue, Sparsity and adaptivity for the blind separation of partially correlated sources, IEEE Transactions on Signal Processing, vol. 63, issue 5, pp. 1199-1213, 2015.
• E. Chapman, A.Bonaldi, G.Harker, V.Jelic, F.Abdalla, G.Bernardi, J.Bobin, F.Dulwich, B.Mort, M.Santos and J-L.Starck, "Cosmic dawn and Epoch of Reionization foreground removal with the SKA", accepted to the SKA science book ‘Advancing astrophysics with the Square Kilometre Array’, 2015.
• J.Bobin, F. Sureau and J.-L. Starck, "Polarized CMB recovery with sparse component separation", Astronomy and Astrophysics, 583, id.A92, pp 12, 2015.
• J. Bobin, J.-L. Starck, F. Sureau and S. Basak, "Sparse component separation for accurate CMB map estimation" , Astronomy and Astrophysics , 550, A73, 2013.
• J. Rapin, J. Bobin, A. Larue and J.-L. Starck, "Sparse and Non-negative BSS for Noisy Data", IEEE Transactions on Signal Processing, 2 1, 62, pp 5620-5632, 2013.
• J. Rapin, J. Bobin, A. Larue, and J.-L. Starck, "NMF with Sparse Regularizations in Transformed Domains", SIAM Journal on Imaging Sciences, 7, 2020, 2014.
• J. Bobin, Y. Moudden, M.J. Fadili and Y. Moudden, "Morphological Diversity and Sparsity for Multichannel Data Restoration" , Journal of Mathematical Imaging and Vision , Vol. 33, No. 2, pp. 149-168, 2009.
• J. Bobin, Y. Moudden, J.-L. Starck and M.J. Fadili, "Sparsity constraints for hyperspectral data analysis: linear mixture model and beyond ", SPIE Proceedings , Vol. 7446, 2009.
• J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden, "Blind Source Separation: The Sparsity Revolution", Advances in Imaging and Electron Physics , Vol 152, pp 221 -- 306, 2008.
  J. Bobin, J.-L. Starck J. Fadili, Y. Moudden and D.L Donoho, "Morphological Component Analysis: an adaptative thresholding strategy", IEEE Transactions on Image Processing , Vol 16, No 11, pp 2675--2681, 2007.
• J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden, "Sparsity, Morphological Diversity and Blind Source Separation" , IEEE Transactions on Image Processing, Vol 16, No 11, pp 2662-2674, 2007.
• J. Bobin, Y. Moudden, J.-L. Starck and M. Elad, "Morphological Diversity and Source Separation", IEEE Transaction on Signal Processing , Vol 13, 7, pp 409--412, 2006.
• Y. Moudden, J.-F. Cardoso, J.-L. Starck, J. Delabrouille, "Blind Component Separation in Wavelet Space: Application to CMB Analysis", Eurasip Journal on Applied Signal Processing , 2005, 15 pp 2437-2454, 2005.

Multi/Hyper-spectral Data:

• M. Jiang, J. Bobin and J.-L. Starck, "Joint Multichannel Deconvolution and Blind Source Separation",  SIAM Journal on Imaging Sciences, 10, 4, pp. 1997-2021, 2017.  https://doi.org/10.1137/16M1103713
• R. Joseph, F. Courbin, J.-L. Starck,  "Multi-band morpho-Spectral Component Analysis Deblending Tool (MuSCADeT): Deblending colourful objects", Astronomy and Astrophysics, 589, id.A2, pp 10, 2016.
• J.Bobin , J. Rapin, J.L. Starck and A. Larue, Sparsity and adaptivity for the blind separation of partially correlated sources, IEEE Transactions on Signal Processing, vol. 63, issue 5, pp. 1199-1213, 2015.
• J.Rapin, J. Bobin, A. Larue and J.-L. Starck, "Sparse and Non-negative BSS for Noisy Data", IEEE Transactions on Signal Processing, 2 1, 62, pp 5620-5632, 2013.
• J. Bobin, J.-L. Starck, F. Sureau and S. Basak, "Sparse component separation for accurate CMB map estimation" , Astronomy and Astrophysics , 550, A73, 2013.
• E. Chapman et al , "The Scale of the Problem : Recovering Images of Reionization with GMCA", MNRAS, 429, pp 165-176, 2013.
• J. Bobin, Y. Moudden, J.-L. Starck and M.J. Fadili, "Sparsity constraints for hyperspectral data analysis: linear mixture model and beyond ", SPIE Proceedings , Vol. 7446, 2009.
• J. Bobin,Y. Moudden, M.J. Fadili and Y. Moudden, "Morphological Diversity and Sparsity for Multichannel Data Restoration" , Journal of Mathematical Imaging and Vision , Vol. 33, No. 2, pp. 149-168, 2009.
• J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden, "Blind Source Separation: The Sparsity Revolution", Advances in Imaging and Electron Physics , Vol 152, pp 221 -- 306, 2008.
• J. Bobin, J.-L. Starck, M.J. Fadili, and Y. Moudden, "Sparsity, Morphological Diversity and Blind Source Separation" , Vol 16, No 11, pp 2662-2674, 2007.
• J. Bobin, Y. Moudden, J.-L. Starck and M. Elad, "Morphological Diversity and Source Separation", IEEE Transaction on Signal Processing , Vol 13, 7, pp 409--412, 2006.
• J.L. Starck and P. Querre, "Multispectral Image Restoration by the Wavelet-Karhunen-Loeve Transform", Signal Processing , 81, 12, pp 2449-2459, 2001. 

Segmentation/clustering:

• F. Murtagh and J.-L. Starck, "Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading", Pattern Recognition Letters, 29, pp 1557--1564 , 2008.
• F. Murtagh, A.E. Raftery and J.L. Starck, "Bayesian inference for multiband image segmentation via model-based clustering trees", Image and Vision Computing, 23, 587-596, 2005.
• F. Murtagh, X. Qiao, D. Crookes, P. Wals, P.A.M. Nasheer, A. Long and J.-L Starck, "A Machine Vision Approach to the Grading Crushed Aggregate", Machine Vision & Applications , 16, 229-235, 2005.
• F. Murtagh and J.-L. Starck, "Quantization from Bayes Factors with Application to Multilevel Thresholding", Pattern Recognition letters, 24, 2001--2007, 2003.
• F. Murtagh and J.-L. Starck, "Wavelet product spaces: application to model-based segmentation and edge detection" , Optical Engineering, 42, 1375-1382, 2003.
• F. Murtagh, J.-L. Starck and M. Berry, "Overcoming the curse of dimensionality in clustering by means of the wavelet transform", The Computer Journal, 43, 107-120, 2000.
• F. Murtagh and J.-L. Starck, "Pattern clustering based on noise modeling in wavelet space", Pattern Recognition, 31, 847-855, 1998.
• Murtagh, F., Aussem, A. and Starck, J.-L., "Multiscale data analysis - information fusion and constant-time clustering", Vistas in Astronomy, 41, 359-364, 1997. (Special issue, proceedings of European Science Foundation workshop, Granada, April 1997, editors R. Molina, F. Murtagh and A. Heck).

Texture analysis:

• M.J. Fadili and J.-L. Starck, "Image decomposition and separation using sparse representations: an overview" , Proceedings of the IEEE Special Issue on: Applications of Sparse Representation and Compressive Sensing, Vol. 98, No. 6, pp. 983?994, 2010.
• G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
• M.J. Fadili, J.-L. Starck and F. Murtagh, "Inpainting and Zooming using Sparse Representations" , The Computer Journal , 52, 1, pp 64-79, 2009.
• M. Elad, J.-L Starck, D. Donoho and P. Querre, "Simultaneous Cartoon and Texture Image Inpainting using Morphological Component Analysis (MCA)", Journal on Applied and Computational Harmonic Analysis ACHA , Vol. 19, pp. 340-358, November 2005

Compression:

• N. Barbey, M.Sauvage, J.-L. Starck, and R. Ottensamer, "Feasibility and performances of compressed-sensing and sparse map-making with Herschel/PACS data", Astronomy and Astrophysics, 527, 102 , 2011.
•  J.-L. Starck and J. Bobin, "Astronomical Data Analysis and Sparsity: from Wavelets to Compressed Sensing" , Proceedings of the IEEE Special Issue on: Applications of Sparse Representation and Compressive Sensing, Vol. 98, No. 6, pp 1021-1030, 2010.
• J. Bobin, J.-L. Starck, and R. Ottensamer, "Compressed Sensing in Astronomy" , IEEE Journal of Selected Topics in Signal Processing , Vol 2, no 5, pp 718--726, 2008.
•  F. Murtagh, M. Louys, J.-L. Starck, F. Bonnarel and M. Farid, "Compression of grayscale scientific and medical images - principles, environments, evaluation", IEE Electronics and Communication Engineering Journal, 1, 1, pp 111-127, 2002.
• F. Murtagh, M. Louys, J.L. Starck and F. Bonnarel, "Compression of grayscale scientific and medical image data", CODATA Data Science Journal, 1, 111-127, 2002. Available at: "www.datasciencejournal.org" .
• M. Farid, F. Murtagh and J.L. Starck, "Computer display control and interaction using eye-gaze" , Journal of the Society for Information Display, Vol 10, No 3, pp 289-29, 2002.
• M. Louys, J.L. Starck and F. Murtagh, "Lossless Compression of Astronomical Images", Irish Astronomical Journal , Vol 26, pp 119-120, 1999.
• M. Louys, J.L. Starck, S. Mei, F. Bonnarel, and F. Murtagh, "Astronomical Image Compression", Astronomy and Astrophysics Suppl. Ser. 136, 579-590 , 1999.
• F. Murtagh, J.-L. Starck and M. Louys, "Very high quality image compression based on noise modeling", International Journal of Imaging Systems and Technology, 9, 38-45, 1998.
• J.L. Starck, F. Murtagh, and M. Louys, "High Quality Astronomical Image Compression", Vistas in Astronomoy, Vol. 41, No. 3, pp 439-446, 1997.
• J.L. Starck, F. Murtagh, and D. Durand, "New Result in Astronomical Image Compression", NASA Science Information Systems Newsletter, Vol. II, 1996, Issue 39. 
• Starck, J.-L., Murtagh, F., Pirenne, B. and Albrecht, M., "Astronomical image compression based on noise suppression" , Publications of the Astronomical Society of the Pacific, 108, 446-455, 1996.

Detection: 

• J.L. Starck, M. Pierre, "Structure Detection in Low Intensity X-Ray Images", Astronomy and Astrophysics, Suppl. Ser. , 128, pp 397--407, 1998.
• J.L. Starck, R. Siebenmorgen, and R. Gredel, "Spectral Analysis by the Wavelet Transform", Astrophysical Journal, Vol. 482, pp 1011--1020, 1997.
• F. Murtagh, J.L. Starck, P.F. Honore, and W. Zeilinger, "Multiresolution Transforms for Object Detection and for Image Transmission", Vistas in Astronomoy, Vol. 40, No. 4, pp 595--602, 1996.
• J.B. Melin et al, "A comparison of algorithms for the construction of SZ cluster catalogues", Astronomy and Astrophysics , 548, A51, pp 13, 2012.
• J.-L. Starck, M.J. Fadili, S. Digel , B. Zhang and J. Chiang, "Source Detection Using a 3D Sparse Representation: Application to the Fermi Gamma-ray Space Telescope ", Astronomy and Astrophysics , 504, 2, pp.641-652, 2009.
• J.-L. Starck, A. Bijaoui, I. Valtchanov, and F. Murtagh, "A Combined Approach for Object Detection and Deconvolution", Astronomy and Astrophysics Suppl. Ser., 147, 139-149, 2000.

Deconvolution - superresolution:

• F.-X. Dupé , M.J. Fadili and J-L. Starck, "A proximal iteration for deconvolving Poisson noisy images using sparse representations", IEEE Transactions on Image Processing , 18, 12,pp 310--321, 2009.
• J.-L. Starck and M.J. Fadili, "An Overview of inverse problem regularization using sparsity", ICIP 09 , 2009.
• C. Chesneau, J. Fadili, and J.-L. Starck, "Stein block thresholding for wavelet-based image deconvolution", Electronic Journal of Statistics, Vol. 4, pp 415-435, 2010 .
• J.-L. Starck, F. Murtagh, and M. Bertero, "The Starlet Transform in Astronomical Data Processing: Application to Source Detection and Image Deconvolution", Springer, Handbook of Mathematical Methods in Imaging, in press, 2010.
• F.-X. Dupe, M.J. Fadili, and J.-L. Starck, "Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis priors", Statistical Methodology, 9, 85--100, 2012.
• J. Schmitt, J.L. Starck, J.M. Casandjian, J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope, Astronomy and Astrophysics , 546, id.A114, pp10, 2012.
• F.M. Ngolé Mboula , J.-L. Starck, S. Ronayette, K. Okumura and J. Amiaux, "Super-resolution method using sparse regularization for point-spread function recovery", Astronomy and Astrophysics, 575, id.A86, 2015.
• H. Garsden, J. Girard, J.-L. Starck, S. Corbel, C. Tasse et al, "LOFAR Sparse Image Reconstruction", Astronomy and Astrophysics, 575, A90, 2015.
• M. Jiang, J. Bobin and J.-L. Starck, "Joint Multichannel Deconvolution and Blind Source Separation",  SIAM Journal on Imaging Sciences, 10, 4, pp. 1997-2021, 2017. https://doi.org/10.1137/16M1103713
• S. Farrens, J.-L. Starck and F.M. Ngolè Mboula "Space variant deconvolution of galaxy survey images", Astronomy and Astrophysics, 601, id.A66, 12 pp, 2017. DOI 10.1137/16M1103713
• E. Pantin, J.-L. Starck, and F. Murtagh, "Deconvolution and Blind Deconvolution in Astronomy", in Blind image deconvolution: theory and applications , K. Egiazarian and P. Campisi (Eds), CRC Press, pp 277--317, 2007.
•  J.-L. Starck, F. Murtagh, E. Candes, and D.L. Donoho, "Gray and Color Image Contrast Enhancement by the Curvelet Transform", IEEE Transaction on Image Processing, 12, 6, pp 706--717, 2003.
• J.-L. Starck, M.K. Nguyen and F. Murtagh, "Wavelets and Curvelets for Image Deconvolution: a Combined Approach", Signal Processing, 83, 10, pp 2279-2283, 2003.
• J.-L. Starck, E. Pantin and F. Murtagh, "Deconvolution in Astronomy: a Review" , Publication of the Astronomical Society of the Pacific, Vol. 114, pp 1051--1069, 2002.
• J.-L. Starck, A. Bijaoui, I. Valtchanov, and F. Murtagh, "A Combined Approach for Object Detection and Deconvolution", Astronomy and Astrophysics Suppl. Ser., 147, 139-149 ,2000.
• E. Pantin and J.L. Starck, "Deconvolution of Astronomical Images using the Multiscale Maximum Entropy Method" , Astronomy and Astrophysics, Suppl. Ser., 118, pp 575--585, 1996.
• Murtagh, F., Starck, J.-L. and Bijaoui, A., "Image restoration with noise suppression using a multiresolution support", Astronomy and Astrophysics Supplement Series ,, 112, 179-189, 1995.
• Bijaoui, A., Starck, J.-L. and Murtagh, F., "Restauration des images multi-échelles par l'algorithme à trous", Traitement du Signal, 11, 229-243, 1994.
• Starck, J.-L. and Murtagh, F., "Image restoration with noise suppression using the wavelet transform", Astronomy and Astrophysics, 288, 342-348, 1994.
• J.L. Starck, and A. Bijaoui, "Multiresolution Deconvolution", J. Opt. Soc. Am. A, 11, No 4, 1994.
• J.L. Starck, A. Bijaoui, B. Lopez, and C. Perrier, "Image Reconstruction by the Wavelet Transform Applied to Aperture Synthesis", Astronomy and Astrophysics, 283, 349--360, 1994.
• J.L. Starck, and A. Bijaoui, "Filtering and Deconvolution by the Wavelet Transform", Signal Processing, 35, 195--211, 1994.
• P. Cruzalèbes, G. Schumacher and J.L. Starck, "Model Independent Mapping by Optical Aperture Synthesis. Basic principles and computer simulation", J. Opt. Soc. Am. A, 9, No 5, 1992.

Poisson noise:

• F.-X. Dupe, M.J. Fadili, and J.-L. Starck, "Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis priors", Statistical Methodology, 9, 85--100, 2012.
• J. Schmitt, J.L. Starck, J.M. Casandjian, J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope, Astronomy and Astrophysics , 546, id.A114, pp10, 2012.
• J. Schmitt, J.L. Starck, J.M. Casandjian, M.J. Fadili, I. Grenier, "Poisson Denoising on the Sphere: Application to the Fermi Gamma Ray Space Telescope", Astronomy and Astrophysics, 517, A26, 2010.
• F.-X. Dupe , M.J. Fadili and J-L. Starck, "A proximal iteration for deconvolving Poisson noisy images using sparse representations", IEEE Transactions on Image Processing , 18, 12,pp 310--321, 2009.
• J.-L. Starck, M.J. Fadili, S. Digel , B. Zhang and J. Chiang, "Source Detection Using a 3D Sparse Representation: Application to the Fermi Gamma-ray Space Telescope ", Astronomy and Astrophysics , 504, 2, pp.641-652, 2009.
• B. Zhang, M.J. Fadili, J.L. Starck, S.W. Digel, "Fast Poisson Noise Removal by Biorthogonal Haar Domain Hypothesis Testing" , Statistical Methodology , Vol 5, No 4, pp 387-396, 2008.
• B. Zhang, M.J. Fadili and J.-L. Starck, "Wavelets, Ridgelets and Curvelets for Poisson Noise Removal" , IEEE Transactions on Image Processing , Vol 17, No 7, pp 1093--1108, 2008.
• F. Murtagh and J.-L. Starck, "Pattern clustering based on noise modeling in wavelet space", Pattern Recognition, 31, 847-855, 1998.
• J.L. Starck, M. Pierre, "Structure Detection in Low Intensity X-Ray Images", Astronomy and Astrophysics, Suppl. Ser. , 128, pp 397--407, 1998.
• F. Murtagh, J.L. Starck. and A. Bijaoui, "Image restoration with noise suppression using a multiresolution support", Astronomy and Astrophysics Supplement Series ,, 112, 179-189, 1995.

Noise Modeling and Denoising:

• S. Beckouche, J.-L. Starck, G. Peyre and J. Fadili, "Astronomical Image Denoising using Dictionary Learning", Astronomy and Astrophysics , 556, id.A132, pp 14, 2013.
• F.-X. Dupe, M.J. Fadili, and J.-L. Starck, "Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis priors", Statistical Methodology, 9, 85--100, 2012.
• J. Schmitt, J.L. Starck, J.M. Casandjian, J. Fadili, I. Grenier, "Multichannel Poisson Denoising and Deconvolution on the Sphere : Application to the Fermi Gamma Ray Space Telescope, Astronomy and Astrophysics , 546, id.A114, pp10, 2012.
• C. Chesneau, M.J. Fadili, and J.-L. Starck, , "Stein Block Thresholding For Image Denoising" , Applied and Computational Harmonic Analysis , Vol. 28, No. 1, pp. 67?88, 2010.
• J. Schmitt, J.L. Starck, J.M. Casandjian, M.J. Fadili, I. Grenier, "Poisson Denoising on the Sphere: Application to the Fermi Gamma Ray Space Telescope", Astronomy and Astrophysics, 517, A26, 2010.
• J.-L. Starck, M.J. Fadili, S. Digel , B. Zhang and J. Chiang, "Source Detection Using a 3D Sparse Representation: Application to the Fermi Gamma-ray Space Telescope ", Astronomy and Astrophysics , 504, 2, pp.641-652, 2009.
• B. Zhang, M.J. Fadili and J.-L. Starck, "Wavelets, Ridgelets and Curvelets for Poisson Noise Removal" , IEEE Transactions on Image Processing , Vol 17, No 7, pp 1093--1108, 2008.
• J.L. Starck, E. Candes, and D.L. Donoho, "The Curvelet Transform for Image Denoising", IEEE Transactions on Image Processing , 11, 6, pp 670 -684, 2002.
• J.L. Starck, D.L. Donoho and E. Candes, invited paper, "Very High Quality Image Restoration", in SPIE conference on Signal and Image Processing: Wavelet Applications in Signal and Image Processing IX, A. Laine, M.A. Unser and A. Aldroubi Eds, Vol 4478, 2001.
• J.L. Starck and P. Querre, "Multispectral Image Restoration by the Wavelet-Karhunen-Loeve Transform", Signal Processing , 81, 12, pp 2449-2459, 2001.
• F. Murtagh and J.-L. Starck, "Image processing through multiscale analysis and measurement noise modeling", Statistics and Computing journal, 10, 95-103 , 2000.
• J.L. Starck and F. Murtagh, "Multiscale entropy filtering" , Signal Processing, 76, 147-165, 1999.
• J.-L. Starck, F. Murtagh and R. Gastaud, "A new entropy measure based on the wavelet transform and noise modeling", IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 45, 1118-1124, 1998.
• J.-L. Starck and F. Murtagh, "Automatic noise estimation from the multiresolution support", Publications of the Astronomical Society of the Pacific, 110, 193-199, 1998.
• Starck, J.-L., Murtagh, F. and Bijaoui, A., "Multiresolution support applied to image filtering and restoration", Graphical Models and Image Processing, 57, 420-431, 1995.
• J.L. Starck, and A. Bijaoui, "Filtering and Deconvolution by the Wavelet Transform", Signal Processing, 35, 195--211, 1994.
• Starck, J.-L. and Murtagh, F., "Image restoration with noise suppression using the wavelet transform", Astronomy and Astrophysics, 288, 342-348, 1994.

Spectral Analysis:

• D. Machado, A. Leonard, J-L. Starck, and F. Abdalla, "Darth Fader: Using wavelets to obtain accurate redshifts of spectra at very low signal-to-noise", Astronomy and Astrophysics , 560, id.A83, pp 20, 2013.
• J.L. Starck, R. Siebenmorgen, and R. Gredel, "Spectral Analysis by the Wavelet Transform", Astrophysical Journal, Vol. 482, pp 1011--1020, 1997.

Entropy:

• J.L. Starck, F. Murtagh, P. Querre, and F. Bonnarel, "Entropy and Astronomical Data Analysis: perspectives from multiresolution analysis" , Astronomy and Astrophysics , 368, pp 730--746, 2001.
• J.L. Starck and F. Murtagh, "Multiscale entropy filtering" , Signal Processing, 76, 147-165, 1999.
• J.-L. Starck, F. Murtagh and R. Gastaud, "A new entropy measure based on the wavelet transform and noise modeling", IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 45, 1118-1124, 1998.
• E. Pantin and J.L. Starck, "Deconvolution of Astronomical Images using the Multiscale Maximum Entropy Method" , Astronomy and Astrophysics, Suppl. Ser., 118, pp 575--585, 1996.
• F. Murtagh, J.L. Starck, N. McMillan and J.G. Campbell, "Intelligent data modeling based on the wavelet transform and data entropy", W. Gaul, O. Opitz and M. Schader, Eds., Data Analysis: Scientific Modeling and Practical Applications , Springer-Verlag, pp. 273-284, 2000.
• J.L. Starck,and E. Pantin, "Multiscale Maximum Entropy Images Restoration", Vistas in Astronomoy, Vol. 40, No. 4, pp1-6, 1996.
• J.L. Starck, Habilitation à diriger des recherches, Université de Paris XI, France, Soutenue le 29 novembre 1999. French version: " Entropie multiéchelle: définition et applications " English version: " Multiscale entropy: definition and applications ".

Time Series

• D. Benaouda, F. Murtagh, J.-L. Starck, , O. Renaud, (2006). Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting. Neurocomputing, 70, 139 - 154. DOI :10.1016/j.neucom.2006.04.005.
• O. Renaud, J.-L. Starck and F. Murtagh, "Wavelet-based combined signal filtering and prediction", IEEE Transactions on Systems, Man and Cybernetics, 35, 6, pp 1241--1251, 2005.
• F. Murtagh, J.-L. Starck and O. Renaud, "On Neuro-Wavelet Modeling" , Decision Support Systems Journal, 37, 475-484, 2004.
• O. Renaud, J.L. Starck and F. Murtagh, "Prediction based on a Multiscale Decomposition", International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), Vol. 1, No. 2, 217-232, 2003.
• G. Zheng, J.L. Starck, J.G. Campbell and F. Murtagh, "Multiscale transforms for filtering financial data streams", Journal of Computational Intelligence in Finance, 7, 18-35, 1999. Paper available online.