• Books
• Chapters in Books
• Recent Papers
• All Papers

Books:

• • J.L. Starck, F. Murtagh, and J. Fadili, Sparse Image and Signal Processing: Wavelets and Related Geometric Multiscale Analysis, Cambridge University Press, Cambridge (GB),  2016 . (ISBN: 9781107088061, 428-pp, monograph).
  • J.L. Starck, F. Murtagh, and J. Fadili, Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity , Cambridge University Press, Cambridge (GB), 2010. (ISBN-10: 0521119138; 336-pp. monograph).
  • J.L. Starck and F. Murtagh, Astronomical Image and Data Analysis , Springer, 2006, second edition. (ISBN-10: 3-540-33024-0; 360-pp. monograph).
  • J.L. Starck and F. Murtagh, Astronomical Image and Data Analysis , Springer, 2002. (ISBN 3-540-42885-2.; 300-pp. monograph).
  • J.L. Starck, F. Murtagh, and A. Bijaoui, "Image Processing and Data Analysis: The Multiscale Approach", Cambridge University Press, Cambridge (GB), 1998. (Hardback and softback, ISBN 0-521-59084-1 and 0-521-59914-8.; 300-pp. monograph). 

Chapters in Books and Edited Conference Proceedings:

• • J. L. Starck, V. Ajani and V. Pettorino, Wavelets in Astrophysics, in press, 2024.
  • T. Liaudat, J.L. Starck and M. Kilbinger, "Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies", Front. Astron. Space Sci., Volume 10, https://doi.org/10.3389/fspas.2023.1158213, 2023.
  • A. Heavens, J.L. Starck and A. Krone-Martins,  Eds., IAU Symposium 306 on Statistical Challenges in 21st Century Cosmology, Cambridge University Press, Cambridge (GB), 2015 (ISBN9781107078567).
  • F. Lanusse, J.-L. Starck, A. Woiselle and M.J. Fadili , "3D Sparse Representations", Advances in Imaging and Electron Physics , Advances in Imaging and Electron Physics , Academic Press: Elsevier Inc, pp. 99--204, 2014.
  • A. Leonard, J.-L. Starck, S. Pires , F.-X Dupe, Exploring the Components of the Universe Through Higher-Order Weak Lensing Statistics, Open Questions in Cosmology, Gonzalo J. Olmo (Ed.), ISBN: 978-953-51-0880-1, InTech, DOI: 10.5772/51871, 2012.
  • J. Schmitt, J.-L. Starck, J. Fadili, S. Digel, "Poisson Noise Removal in Spherical Multichannel Images: Application to FERMI Data", in Advances in Machine Learning and Data Mining for Astronomy, CRC Press, Taylor & Francis Group, Eds.: Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava, p. 183-209, 2012.
  • S. Pires, J.-L. Starck, A. Leonard, and A. Refregier, "Weak Graviational Lensing", in Advances in Machine Learning and Data Mining for Astronomy, CRC Press, Taylor & Francis Group, Eds.: Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava, p. 287-321, 2012.
  • P. Paykari and J.-L. Starck, "Cosmic Microwave Background Data Analysis", in Advances in Machine Learning and Data Mining for Astronomy, CRC Press, Taylor & Francis Group, Eds.: Michael J. Way, Jeffrey D. Scargle, Kamal M. Ali, Ashok N. Srivastava, p. 55-87, 2012.
  • A. Labatie, J.-L. Starck and M. Lachieze-Rey, "Statistical Study of the Galaxy Distribution", Advances in Modern Cosmology, Adnan Ghribi (Ed.), ISBN: 978-953-307-423-8, InTech, 2011.
  • 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, pp 1489-1531, 2011.
  • 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.
  • 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. 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.
  • 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, M. Elad, and D.L. Donoho, "Redundant Multiscale Transforms and their Application for Morphological Component Analysis", Advances in Imaging and Electron Physics , 132, 2004.
  • Starck, J.-L. and Murtagh, F., Eds., Astronomical Data Analysis II, Proceedings of SPIE, Volume 4847, SPIE, Bellingham, 2002.
  • J-L. Starck, "Astronomical Data Analsyis: Perspectives from Multiscale Analysis", in Grands Relevés et Observatoires Virtuels, Ecole CNRS de Goutelas XXIV (2001), D. Egret and J.L. Halbwachs (Eds), pp 187--214, 2002.
  • 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.
  • Starck, J.-L. and Murtagh, F., Eds., Astronomical Data Analysis, Proceedings of SPIE, Volume 4477, SPIE, Bellingham, 2001.
  • 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
  • J.L. Starck, "Data Analysis with ISOCAM", in IR Space Astronomy, today and tomorrow, EDP Sciences - Springer-Verlag Publishers, F. Casoli, J.L. Lequeux, and F. Davids Editors, pp. 63--87, 2000.

2024:

• Euclid Papers
• U. Akhaury, P. Jablonka, F. Courbin and J.-L. Starck, "Joint multi-band deconvolution for Euclid and Vera C. Rubin images", submitted, 2024.
• E. Centofanti, S. Farrens, J.-L. Starck et al, "Breaking the degeneracy in stellar spectral classification from single wide-band images", submitted, 2024.
• H. Leterme, J. Fadili and J.-L. Starck, "Distribution-free uncertainty quantification for inverse problems: application to weak lensing mass mapping", submitted, 2024.
• D. Lanzieri et al, "Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference", submitted, 2024.
• V. Tinnaneri Sreekanth, S. Codis, A. Barthelemy, and J.-L. Starck, "Theoretical wavelet l1-norm from one-point PDF prediction", 691, id.A80, 2024.
• U. Akhaury, P. Jablonka, J.-L. Starck and F. Courbin, "Ground-based Image Deconvolution with Swin Transformer UNet", Astronomy and Astrophysics,  688, id.A6, 2024.
• Ruiz et al, "The STATiX pipeline for the detection of X-ray transients in three dimensions", Monthly Notices of the Royal Astronomical Society,   527, Issue 2, 2024.

2023:

• Euclid Papers
• D. Lanzieri, F. Lanusse, C. Modi, B. Horowitz, J.  Harnois-Déraps, J.L. Starck, "The LSST Dark Energy Science Collaboration: Forecasting the power of higher order weak-lensing statistics with automatically differentiable simulations",  Astronomy and Astrophysics,  679, id.A61, 2023.
• P. Hartley et al, "SKA Science Data Challenge 2: analysis and results",  Monthly Notices of the Royal Astronomical Society, 523, 2, 2023.
• T. Liaudat, J.L. Starck and M. Kilbinger, "Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies", Front. Astron. Space Sci., Volume 10, https://doi.org/10.3389/fspas.2023.1158213, 2023.
• B. Chiche et al, "Deep Learning-Based Deconvolution for Interferometric Radio Transient Reconstruction", Astronomy and Astrophysics, 675, id.A116, 2023. doi:10.1051/0004-6361/202245013.
• V. Ajani, J. Harnois-Déraps, V. Pettorino and J-L Starck, "Starlet higher order statistics for galaxy clustering and weak lensing", Astronomy and Astrophysics, 672, id.L10, 2023.
• T. Liaudat, J.-L. Starck, M. Kilbinger, P.-A. Frugier, "Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model",  Inverse Problems,  39, 3, 2023.
• B. Remy, F. Lanusse, N. Jeffrey, J. Liu, J-L Starck, K. Osato, T. Schrabback, "Probabilistic Mass Mapping with Neural Score Estimation",   Astronomy and Astrophysics,  672, id.A51, 2023.
• E. Ayçoberry et al, "UNIONS: The impact of systematic errors on weak-lensing peak counts",  Astronomy and Astrophysics,  671, id.A17, 2023.
• D.Z. Liu et al, "Potential scientific synergies in weak lensing studies between the CSST and Euclid space probes", Astronomy and Astrophysics, 669, id.A128, 2023.

2022:

• Euclid Papers
• A. Galan, Aymeric, G. Vernardos, A. Peel, F. Courbin and J.-L. Starck, "Using wavelets to capture deviations from smoothness in galaxy-scale strong lenses", Astronomy and Astrophysics, 668, A155, 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.
• 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.
• S. Farrens et al, "ShapePipe: A modular weak-lensing processing and analysis pipeline", Astronomy and Astrophysics, 664, id.A141, 2022.
• B. Remy,  F. Lanusse and J-L Starck, "Towards solving model bias in cosmic shear forward modeling", Machine Learning and the Physical Sciences Workshop, NeurIPS, 2022.
• D. Lanzieri,  F. Lanusse and J-L Starck, "Hybrid Physical-Neural ODEs for Fast N-body Simulations,  ICML 2022 Workshop on Machine Learning for Astrophysics, 2022.
• E. Tolley et al, "Lightweight HI source finding for next generation radio surveys",  Astronomy and Computing, 41,  id. 100631, 2022.
• F. Nammour et al, "ShapeNet: Shape Constraint for Galaxy Image Deconvolution", Astronomy and Astrophysics, 663, id.A692022, 2022.
• A. Guinot et al, "ShapePipe: a new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data", 664, A141,  Astronomy and Astrophysics, 2022.
• Z. Ramzi, G.R. Chaithya, J-L Starck and P. Ciuciu and,, "NC-PDNet:Density-Compensated Unrolled Networks for 2D and 3D non-Cartesian MRI Reconstruction",, IEEE Transactions on Medical Imaging, 41, 7, 2022.  DOI: 10.1109/TMI.2022.3144619

2021:

• Euclid Papers
• T. Liaudat, J.-L. Starck, M. Kilbinger, P.-A. Frugier, "Rethinking the modeling of the instrumental response of telescopes with a differentiable optical model", NeurIPS 2021, Machine Learning and the Physical sciences workshop.
• N. Jeffrey et al, "Dark Energy Survey Year 3 results: curved-sky weak lensing mass map reconstruction", Monthly Notices of the Royal Astronomical Society, 505, 3, pp.4626-4645, 2021.
• F. Nammour, M. A. Schmitz, F. M. Ngolè  Mboula, J.-L. Starck and J. N. Girard, "Galaxy Image Restoration with Shape Constraint", Journal of Fourier Analysis and Applications,, 27, 88, 2021. doi:10.1007/s00041-021-09880-9.
• V. Ajani, J.-L. Starck and V. Pettorino, "Starlet l1-norm for weak lensing cosmology", Astronomy and Astrophysics,  645, L11, 2021. doi: 10.1051/0004-6361/202039988.
• J.-L. Starck , K.E. Themelis, N. Jeffrey, A. Peel and F. Lanusse, "Weak lensing mass reconstruction using sparsity and a Gaussian random field”,  Astronomy and Astrophysics, 649, A99, 2021.
• A. Galan, A. Peel, R. Joseph, F. Courbin and J.-L. Starck, "SLITronomy: towards a fully wavelet-based strong lensing inversion technique",  Astronomy and Astrophysics, 647, A176, 2021.
• T. Liaudat, "Multi-CCD Point Spread Function Modelling", Astronomy and Astrophysics,  646, id.A27, 18 pp, 2021.
• M. J. Muckley et al, "Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction", IEEE Transactions on Medical Imaging,  doi: 10.1109/TMI.2021.3075856

2020:

• • Euclid Papers
  • Z. Ramzi, J. -L. Starck, T. Moreau and P. Ciuciu, "Wavelets in the Deep Learning Era," 2020 28th European Signal Processing Conference (EUSIPCO), 2021, pp. 1417-1421, doi: 10.23919/Eusipco47968.2020.9287317.
  •  B. 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.
  • 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
  • V. Ajani, A. Peel, V. Pettorino, J.-L. Starck, Z. Li, J. Liu, "Constraining neutrino masses with weak-lensing starlet peak counts", Physical Review D, 102, 10, id.103531, 2020.
  • M.A. Schmitz, J.-L. Starck, F.M. Ngolè et al, "Euclid Point Spread Function field recovery through interpolation on a Graph Laplacian", Astronomy and Astrophysics, 636, id.A78,  pp 18, 2020.
  • N. Jeffrey, F.  Lanusse, O. Lahav, 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
  • F. Sureau,  A. Lechat and  J.-L. Starck, "Deep Learning for space-variant deconvolution in galaxy surveys", Astronomy and Astrophysics, 641, A67, 2020.
  • S. Farrens et al, "PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing", Astronomy and Computing, 32, pp 100402, 2020. DOI 10.1016/j.ascom.2020.100402
  • 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

2019:

• • 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.
  • E. Sellentin and J.-L. Starck , "Debiasing inference with approximate covariance matrices and other unidentified biases", Journal of Cosmology and Astroparticle Physics, 08, id. 021, 2019.
  • 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, 2, id.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
  • N. Panousopoulou et al, "A Distributed Learning Architecture for Scientific Imaging Problems", Knowledge-Based Systems, 2019.
  • J. N. Girard, M. Jiang, J.-L. Starck, and S. Corbel, "Sparse spatio-temporal imaging of radio transients",  Southern Horizons in Time-domain Astronomy 303, 2019.
  • 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.
  • R. Joseph, F. Courbin, J.-L. Starck and S. Birrer "Sparse Lens Inversion Technique (SLIT): lens and source separability from linear inversion of the source reconstruction problem",Astronomy and Astrophysics, 623, id.A14, 18, 2019.

2018:

• • A. Peel, V. Pettorino, Carlo Giocoli, J.-L. Starck and M. Baldi, "Breaking degeneracies in modified gravity with higher (than 2nd) order weak-lensing statistics", Astronomy and Astrophysics, 619, id.A38, 20, 2018.
  • N. Jeffrey, F. B. Abdalla, O. Lahav, F. Lanusse, J.-L. Starck, A. Leonard,   Improving Weak Lensing Mass Map Reconstructions using Gaussian and Sparsity Priors: Application to DES SV, Monthly Notices of the Royal Astronomical Society,  479, 3, pp 2871-2888, 2018.DOI:  10.1093/mnras/sty1252
  • 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.

2017:

• • J.-L. Starck,  "Astrophysique : les quatre défis du Big Data", Statistique et société, Vol. 5, N° 2 octobre 2017.
  • F. Acero et al, "French SKA White Book - The French Community towards the Square Kilometre Array",  arXiv:1712.06950, 2017.
  • A. Peel, F. Lanusse and J.-L. Starck,  "Sparse reconstruction of the merging A520 cluster system", Astrophysical Journal,  847,  1, article id. 23, pp13, 2017.  DOI: 10.3847/1538-4357/aa850d
  • 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
  • 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.
  • 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.
  • A. Panousopoulou et al, "A Distributed Learning Architecture for Scientific Imaging Problems", submitted, 2019.
  • A. Peel, C.-A. Lin, F. Lanusse, A. Leonard, J.-L. Starck, and M. Kilbinger, "Cosmological constraints with weak lensing peak counts and second-order statistics in a large-field survey",  Astronomy and Astrophysics, 599, id.A79. pp2, 2017.

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.
  • F. Valentino et al, "A giant Ly-alpha nebula in the core of an X-ray cluster at z=1.99: implications for early energy injection", The Astrophysical Journal, 829,  1, id. 53, pp 18, 2016.
  • J.-L. Starck, Sparsity and inverse problems in astrophysics, Journal of Physics, 699 , 012010 doi:10.1088/1742-6596/699/1/012010, 2016.
  • 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.
  • 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.
  • F. Lanusse, J.-L. Starck, A. Leonard, S. Pires, "High Resolution Weak Lensing Mass-Mapping Combining Shear and Flexion", Astronomy and Astrophysics, 591, id.A2, 19 pp, 2016.
  • J. Rapin, A. Souloumiac, J. Bobin, A. Larue, C. Junot, M.Ouethranic and J.-L. Starck, Application of Non-negative Matrix Factorization to LC/MS data,  Signal Processing, 123, pp 75-83, 2016.

2015:

• • PLANCK papers
  •  J.Bobin, F. Sureau and J.-L. Starck, "Polarized CMB recovery with sparse component separation", Astronomy and Astrophysics, 583, id.A92, pp 12, 2015.
  • P. Paykari, S. Pires, J.-L Starck, and A.H. Jaffe, "Sparsely Sampling the Sky: Regular vs Random Sampling", Astronomy and Astrophysics,581, id.A113, pp 6 , 2015.
  • A. Moller et al, "SNIa detection in the SNLS photometric analysis using Morphological Component Analysis", Journal of Cosmology and Astroparticle Physics,  04,  id. 041, 2015.
  • R. Mandelbaum et al, "GREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology", MNRAS, 450, 3, 2015.
  • F. Lanusse, A. Rasat,  and J.-L. Starck, "3D Galaxy Clustering with Future Wide-Field Surveys: Advantages of a Spherical Fourier-Bessel analysis,Astronomy and Astrophysics, 578, id.A10, 2015.
  • A. Leonard, F. Lanusse and J.-L. Starck, "Weak lensing reconstructions in 2D & 3D: implications for cluster studies",  MNRAS, 449, 1146–1157, 2015.
  • 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.
  • K. Takahashi et al, "Overview of Complementarity and Synergy with Other Wavelengths in Cosmology in the SKA era", SKA science book ‘Advancing astrophysics with the Square Kilometre Array, 2015.
  • D.J. Schwarz et al, , "Testing foundations of modern cosmology with SKA all-sky surveys", SKA science book ‘Advancing astrophysics with the Square Kilometre Array, 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",  SKA science book ‘Advancing astrophysics with the Square Kilometre Array, 2015.
  • 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.
  • G. Tsagkatakis, A. Woiselle, G. Tzagkarakis, M. Bousquet, J. L. Starck, and P. Tsakalides, “Multireturn Compressed Gated Range Imaging,” Optical Engineering, special issue on Computational Approaches to Imaging LADAR, 031106, 2015. doi:10.1117/1.OE.54.3.031106.

2014:

• • F. Lanusse, P. Paykari, J.-L. Starck, F. Sureau, J. Bobin, A, Rassat, PRISM: Recovery of the primordial spectrum from Planck data. Astronomy and Astrophysics, 571, id.L1, 2014.
  • 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.
  • 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.
  • A. Rassat, J-L. Starck, P. Paykari, F. Sureau and J. Bobin, "Planck CMB Anomalies: Astrophysical and Cosmological Foregrounds and the Curse of Masking",Journal of Cosmology and Astroparticle Physics, 08, id. 006, 2014.
  • F. Sureau, J. -L. Starck, J. Bobin, P. Paykari and A. Rassat, "Sparse point source removal for full sky CMB experiments: application to WMAP 9-year", Astronomy and Astrophysics, 566, id.A100, 2014.
  • P. Paykari, F. Lanusse and J.-L. Starck, "PRISM: Sparse recovery of the primordial spectrum", Astronomy and Astrophysics, 566, id.A77, 2014.
  • J. Bobin, F. Sureau, J.-L. Starck, A. Rassat and P. Paykari, "Joint Planck and WMAP CMB Map Reconstruction", Astronomy and Astrophysics, 563, id.A105, 2014.
  • A. Leonard, F. Lanusse and J.-L. Starck, "GLIMPSE: Accurate 3D weak lensing reconstructions using sparsity", MNRAS, 440, 2, 2014.

2013:

• • 2013 PLANCK papers .
  • M. Brown et al, "Probing the accelerating Universe with radio weak lensing in the JVLA Sky Survey", arXiv:1312.5618, 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.
  • 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.
  • A. Rassat and J-L. Starck, "On Preferred Axes in WMAP Cosmic Microwave Background Data after Subtraction of the Integrated Sachs-Wolfe Effect", Astronomy and Astrophysics , 557, id.L1, pp 7, 2013.
  • A. Rassat, J-L. Starck, and F.X. Dupe, "Removal of two large scale Cosmic Microwave Background anomalies after subtraction of the Integrated Sachs Wolfe effect", Astronomy and Astrophysics , 557, id.A32, pp 15, 2013.
  • J. Bobin, F. Sureau, P. Paykari, A. Rassat, S. Basak and J.-L. Starck, "WMAP 9-year CMB estimation using sparsity", Astronomy and Astrophysics , 553, L4, pp 10, 2013.
  • J.-L. Starck, D.L. Donoho, M.J. Fadili and A. Rassat, "Sparsity and the Bayesian Perspective", Astronomy and Astrophysics , 552, A133, 2013.
  • 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.
  • E. Chapman et al , "The Scale of the Problem : Recovering Images of Reionization with GMCA", MNRAS, 429, pp 165-176, 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.
  • J.-L. Starck, A. Rassat, and M.J. Fadili, "Low-l CMB Analysis and Inpainting", Astronomy and Astrophysics , 550, A15, 2013.

2012:

• • A. Labatie, J.-L. Starck, and M. Lachieze-Rey, "Effect of model-dependent covariance matrix for studying Baryon Acoustic Oscillations", Astrophycical Journal , 760, 2, id. 97, pp. 13, 2012.
  • A. Labatie, J.-L. Starck, and M. Lachieze-Rey, "Detecting Baryon Acoustic Oscillations", Astrophycical Journal , 746, 2, id172, 2012.
  • P. Arnalte-Mur, A. Labatie, N. Clerc, V.J. Martinez, J.-L. Starck, M. Lachieze-Rey, E. Saar and S. Paredes, "Wavelet detection of Baryon Acoustic Structures in the galaxy distribution" , Astronomy and Astrophysics , 542, id.A34, pp 11, 2012
  • S. Pires, A. Leonard, J.-L. Starck, "Cosmological Parameters Constraint from Weak Lensing Data", MNRAS, 423, pp 983-992, 2012.
  • A. Leonard, S. Pires, J.-L. Starck, "Fast Calculation of the Weak Lensing Aperture Mass Statistic", MNRAS, 423, pp 3405-3412, 2012.
  • P. Paykari, J.L. Starck, and J. Fadili, "True CMB Power Spectrum Estimation", Astronomy and Astrophysics , 541, A74, 2012.
  • S. Plaszczynski, A. Lavabre, L. Perotto, J-L Starck, "An hybrid approach to CMB lensing reconstruction on all-sky intensity maps", Astronomy and Astrophysics , 544, A27, 2012.
  • J.B. Melin et al, "A comparison of algorithms for the construction of SZ cluster catalogues", Astronomy and Astrophysics , 548, A51, pp 13, 2012.
  • 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. Bobin, J.-L. Starck, F. Sureau, and J. Fadili, "CMB map restoration", Advances in Astronomy , 2012, Id703217, 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.
  • A. Leonard, F.X. Dupe, and J.-L. Starck, "A Compressed Sensing Approach to 3D Weak Lensing", Astronomy and Astrophysics , 539, A85, 2012.
  • E. Deriaz, J.-L. Starck, and S. Pires, "Wavelet Helmholtz decomposition for Weak Lensing mass map reconstruction" , Astronomy and Astrophysics , 534, A34, 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.
  • A. Labatie, J.-L. Starck, M. Lachieze-Rey, P. Arnalte-Mur, "Uncertainty in 2-point correlation function estimators and BAO detection in SDSS DR7", Statistical Methodology, 9, 85--100, 2012.
  • 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.
  • G. Tzagkarakis, P. Tsakalides and J.-L. Starck, "Covariation-based Subspace-Augmented MUSIC for Joint Sparse Support Recovery in Impulsive Environments", Signal Processing , doi: 10.1016/j.sigpro.2012.11.021, 2012.

2011:

• • 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. 2011:
  • F. -X Dupe, A. Rassat, A., J.-L. Starck, M.J. Fadili, "Measuring the Integrated Sachs-Wolfe Effect", Astronomy and Astrophysics , 534, A51+, 2011.
  • 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.
  • 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.

2010:

• • FERMI papers
  • 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. 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.
  • L. Perotto, J. Bobin, S. Plaszczynski, J.-L. Starck and A. Lavabre "Reconstruction of the CMB lensing for Planck" , Astronomy and Astrophysics , 5109 A4, 2010.
  • S. Pires, J.-L. Starck and A. Refregier, "Light on Dark Matter with Weak Gravitational Lensing", IEEE Signal Processing Magazine, 27, 1, pp 76--85, 2010.
  • 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.
  • 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.
  • 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 .
  • 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.
  • 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.

2009:

• • J.-L. Starck and M.J. Fadili, "An Overview of inverse problem regularization using sparsity", ICIP 09 , 2009.
  • J.~A. Tauber et al, "Planck pre-launch status: The Planck mission", Astronomy and Astrophysics, 520, A1, 2010. 2009:
  • A.A. Abdo et al, , "A Population of Gamma-Ray Millisecond Pulsars Seen with the Fermi Large Area Telescope", Science , 325, 5942, pp. 848, 2009.
  • A.A. Abdo et al, , "Fermi Observations of High-Energy Gamma-Ray Emission from GRB 080916C", Science , 323, 5922, pp. 1688, 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.
  • J.-L. Starck, Y. Moudden and J. Bobin, "Polarized Wavelets and Curvelets on the Sphere", Astronomy and Astrophysics, 497, pp 931--943, 2009.
  • S. Pires, J.-L. Starck, A. Amara, A. Refregier and R. Teyssier, , "Cosmological models discrimination with Weak Lensing", Astronomy and Astrophysics, pp 969-979, 2009.
  • S. Pires, J.-L. Starck, A. Amara, A., R. Teyssier, A. Refregier and J. Fadili, "FASTLens (FAst STatistics for weak Lensing) : Fast method for Weak Lensing Statistics and map making", Monthly Notices of the Royal Astronomical Society (MNRAS) , 395, 3, pp. 1265-1279, 2009.
  • R. Teyssier et al, "Full-Sky Weak Lensing Simulation with 70 Billion Particles", 497, pp 335--341, 2009.
  • J. Bobin, Y. Moudden, M.J. Fadili and J.-L. Starck, "Morphological Diversity and Sparsity for Multichannel Data Restoration" , Journal of Mathematical Imaging and Vision , Vol. 33, No. 2, pp. 149-168, 2009.
  • M.J. Fadili, J.-L. Starck and F. Murtagh, "Inpainting and Zooming using Sparse Representations" , The Computer Journal , 52, 1, pp 64-79, 2009.

2008:

• • 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. 2008:
  • A. Abdo et al, "The Fermi Gamma Ray Space Telescope discovers the Pulsar in the Young Galactic Supernova-Remnant CTA 1", Science, Vol 322, no 5905, pp 1218-1221, 2008.
  • 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.
  • S. Leach et al, "Component separation for the PLANCK mission", Astronomy and Astrophysics, , Vol 491, pp 597--615, 2008.
  • M. Einasto et al, Toward Understanding Rich Superclusters, The Astrophysical Journal , Vol 685, No 1, pp. 83-104, 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.
  • M.P. Muno, F.K. Baganoff, W.N. Brandt, M.R. Morris and J.L. Starck, "A Catalog of Diffuse X-ray-Emitting Freatures within 20pc of Sgr A: Twenty Pulsar Wind Nebulae" , Astrophysical Journal, ApJ, pp 251--263, 673, 2008.
  • P. Abrial, Y. Moudden, J.L. Starck,M.J. Fadili, J. Delabrouille, and M. Nguyen, "CMB Data Analysis and Sparsity" , Statistical Methodology , Vol 5, No 4, pp 289-298, 2008.
  • J. Bobin, Y. Moudden,J.-L. Starck, M.J. Fadili, and N. Aghanim, "SZ and CMB reconstruction using GMCA" , Statistical Methodology , Vol 5, No 4, pp 307-317, 2008.
  • 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.

2007:

• • 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. 2007:
  • R. Massey et al, Maps of the Universe's Dark Matter scaffolding" , Nature , 445, 286 - 290, 2007.
  • M. Piere et al, "The XMM-Large Scale Structure catalogue: X-ray sources and associated optical data. Version I" , MNRAS, 382, pp 279-290, 2007.
  • 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. Einasto et al, "The richest superclusters. I. Morphology " , A&A, 476, pp 697--711, 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, 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.-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.
  • D. Elbaz et al, "The reversal of the star formation-density relation in the distant universe" , Astronomy and Astrophysics , 468, pp 33-48, 2007.
  • E. Saar, V. martinez, J.-L. Starck and D. Donoho, "Multi-scale morphology of the galaxy distribution", , Monthly Notices of the Royal Astronomical Society (MNRAS) , i374, 1030-1044, 2007.

2006:

• • J.-L. Starck, S. Pires, and A. Refregier, "Weak Lensing Mass Reconstruction using Wavelets", pp.1139-1150, 451, 3, Astronomy and Astrophysics, 2006.
  • J.-L Starck, Y. Moudden, P. Abrial and M. Nguyen, "Wavelets, Ridgelets and Curvelets on the Sphere", Astronomy and Astrophysics, 446, 1191-1204, 2006.
  • 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.
  • P. Lambert, S. Pires, J. Ballot, R.A. {Garc{'{i}}a}, J.-L. Starck and S. {Turck-Chi{`e}ze}, "Curvelet analysis of asteroseismic data. I. Method description and application to simulated sun-like stars" , Astronomy and Astrophysics , pp 1021-1027, 454, 2006.
  • 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.

2005:

• • F. Pacaud, et al, "The XMM Large-Scale Structure survey: the X-ray pipeline and survey selection function",, Monthly Notices of the Royal Astronomical Society (MNRAS) , 372, 2, pp. 578-590, 2006. 2005:
  • 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.
  • V. Martinez, J.-L. Starck, E. Saar, D.L. Donoho, P. de la Cruz, S. Paredes and S. Reynolds, "Morphology of the Galaxy Distribution from Wavelet Denoising", Astrophysical Journal, 634, pp 744--755, 2005.
  • J.-L. Starck, V.J. Martinez, D.L. Donoho, O. Levi, P. Querre, E. Saar, "Analysis of the Spatial Distribution of Galaxies by Multiscale Methods", Eurasip Journal on Applied Signal Processing , 2005, 15, pp 2455-2469, 2005.
  • J. Jin, J.-L. Starck, D.L. Donoho, N. Aghanim and O. Forni, "Cosmological non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests", Eurasip Journal on Applied Signal Processing , 2005, 15 pp 2470-2485, 2005.
  • 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.
  • 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 .
  • 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, 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, 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.

2004:

• • J.-L. Starck, N. Aghanim and O. Forni, "Detection and discrimination of cosmological non-Gaussian signatures by multi-scale methods" , Astronomy and Astrophysics, 416, 9--17, 2004.
  • F. Murtagh, J.-L. Starck and O. Renaud, "On Neuro-Wavelet Modeling" , Decision Support Systems Journal, 37, 475-484, 2004.
  • M. Pierre et al, "The XMM-LSS survey. Survey design and first results", Journal of Cosmology and Astroparticle Physics, 9, pp 11, 2004.

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. Candes, and D.L. Donoho, "Astronomical Image Representation by the Curvelet Tansform" , Astronomy and Astrophysics, 398, 785--800, 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.
  • 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.
  • 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 and J.-L. Starck, "Quantization from Bayes Factors with Application to Multilevel Thresholding", Pattern Recognition letters, 24, 2001--2007, 2003.

2002:

• • 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, E. Candes, and D.L. Donoho, "The Curvelet Transform for Image Denoising", IEEE Transactions on Image Processing , 11, 6, pp 670 -684, 2002.
  • F. Murtagh, J.-L. Starck and M. Louys, "Distributed Visual Information Management in Astronomy", IEEE/AIP Computing in Science and Engineering, Vol. 4, No. 6, pp 14--23, 2002.
  • 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.
  • 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.
  • 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, 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" .

2001:

• • J.L. Starck and P. Querre, "Multispectral Image Restoration by the Wavelet-Karhunen-Loeve Transform", Signal Processing , 81, 12, pp 2449-2459, 2001.
  • J.L. Starck, F. Murtagh, "Astronomical Image and Signal Processing" , IEEE Signal Processing magazine , 18, 2, pp 30--40, 2001.
  • 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.

2000:

• • 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, A. Bijaoui, I. Valtchanov, and F. Murtagh, "A Combined Approach for Object Detection and Deconvolution", Astronomy and Astrophysics Suppl. Ser., 147, 139-149 ,2000.
  • A. Claret, H. Dzitko, J. Engelmann, and J.-L. Starck, "Glitch effects in ISOCAM Detectors", Experimental Astronomy, 10, 305--318, 2000.
  • B. Altieri, L. Metcalfe, J. Blommaert, D., Elbaz, J.-L. Starck, H. Aussel, "Ultimate sensitivity with ISOCAM" , Experimental Astronomy 10, 291-303, 2000.
  • F. Murtagh, J.-L. Starck and M. Berry (Univ. Tennessee), "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, "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.

1999 and before:

• • F. Murtagh and J.-L. Starck, "Image processing through multiscale analysis and measurement noise modeling", Statistics and Computing journal, 10, 95-103 , 2000. 
  • M. Morehart, F. Murtagh and J.L. Starck, "Spatial representation of economic and financial measures used in agriculture via wavelet analysis", International Journal of Geographic Information Systems, 13, 557-576, 1999.
  • J.L. Starck, H. Aussel, D. Elbaz, D. Fadda, C. Cesarsky, "Faint source detection in ISOCAM images" , Astron. Astrophys Suppl. Ser., 138, pp 365--379, 1999.
  • D. Elbaz et al., "Source Counts from 15 micron ISOCAM Deep Surveys", Astronomy and Astrophysics, 351, pp L37-L40, 1999.
  • 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.
  • J.L. Starck and F. Murtagh, "Multiscale entropy filtering" , Signal Processing, 76, 147-165, 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.
  • H. Aussel, C. Cesarsky, D. Elbaz, and J.L. Starck, "ISOCAM observations of the Hubble Deep Field with the PRETI method", Astronomy and Astrophysics , 342, 313--336, 1999.
  • J.L. Starck, et al, "ISOCAM Data Processing", Astronomy and Astrophysics Suppl. Ser., 134, 135--148 , 1999.
  • M. Louys, J.L. Starck and F. Murtagh, "Lossless Compression of Astronomical Images", Irish Astronomical Journal , Vol 26, pp 119-120, 1999.
  • 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.
  • 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.
  • 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, M. Pierre, "Structure Detection in Low Intensity X-Ray Images", Astronomy and Astrophysics, Suppl. Ser. , 128, pp 397--407, 1998.
  • M. Pierre, and J.L. Starck, "X-ray structures in galaxy cores", Astronomy and Astrophysics , 330, 3, 801--818, 1998.
  • F. Murtagh and J.-L. Starck, "Pattern clustering based on noise modeling in wavelet space", Pattern Recognition, 31, 847-855, 1998. 
  • J.L. Starck, R. Siebenmorgen, and R. Gredel, "Spectral Analysis by the Wavelet Transform", Astrophysical Journal, Vol. 482, pp 1011--1020, 1997.
  • 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).
  • C.J. Cesarsky and all., "ISOCAM in flight", Astronomy and Astrophysics, 315, L32, 1996.
  • R. Siebenmorgen, and all., "First results from the ISOCAM parallel mode", Astronomy and Astrophysics, 315, L169, 1996.
  • M. Sauvage, and al., "ISOCAM Mapping of the Whirlpool Galaxy", Astronomy and Astrophysics, 315, L89, 1996.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
    

    Other publications:

  • J.L. Starck, invited paper, "Multiscale Methods in Astronomy", Statistical Challenges in Modern Astronomy III, July 18-21, 2001.
  • J.L. Starck, "Image Restoration: beyond wavelets", SPIE's International Technical Group Newsletter on Electronic Imaging, 18, 2, pp 30--40, 2001.
  • 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, 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 ".
  • F. Murtagh, and J.L. Starck, "New Image Modeling Approaches", Space Techniques for Environmental Risks (STER): Land Surface Use and Urban Issues, DG XII - Environment and Climate Programme, Advance Study Course, Strasbourg, 29 june - 10 july 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, H. Aussel, D. Elbaz, and C. Cesarsky, "Faint Source Detection with ISOCAM using the PRETI method", in Extragalactic Astronomy in the Infrared, Editors G.A. Mamon and Trinh Xuân Thuân and J. Trân Thanh Vân, Editions Frontières, pp 481--486, 1997.
  • J.L. Starck,and E. Pantin, "Multiscale Maximum Entropy Images Restoration", Vistas in Astronomoy, Vol. 40, No. 4, pp1-6, 1996.
  • 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.L. Starck, F. Murtagh, and D. Durand, "New Result in Astronomical Image Compression", NASA Science Information Systems Newsletter, Vol. II, 1996, Issue 39.
  • R. Siebenmorgen, J.L. Starck, D.A. Cesarsky, S. Guest, M. Sauvage, "ISOCAM Data Users Manual Version 2.1", ESA Document, Reference: SAI/95-222/Dc.
  • F. Murtagh, J.L. Starck, and A. Bijaoui, "Image Analysis using Multiresolution: New Results", ECF Newsletter, no. 22, pp. 6-8, 1995.
  • J.L. Starck and Fionn Murtagh, "Multiresolution Image Analysis using Wavelets: Recent Results", Bulletin of the American Astronomical Society, vol. 26, no. 2, pp. 1003-1005, 1994.
  • F. Murtagh and J.L. Starck, "Multiresolution Image Analysis using Wavelets: Some Recent Results and Some Current Directions", ECF Newsletter, 22, pp 19--20, 1994.
  • J.L. Starck and Fionn Murtagh, "Wavelet: A New MIDAS Context", ESO-MIDAS Courier, Vol. 3, No. 1, July 1993.
  • J.L. Starck, "The Wavelet Transform", MIDAS Manual, Version NO93.
  • F. Murtagh, W.W. Zeilinger, J.L. Starck, and H. Bohnardt, "Detection of Faint Extended Structures by Multiresolution Wavelet Analysis", ESO Messenger, No 73, September, pp 37--39, 1993.
  • J.L. Starck, "Analyse en Ondelettes et Imagerie à Haute Résolution Angulaire", Thesis, Université de Nice - Sophia Antipolis, France, 1992.