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Publications

 

o Wavelet
o Ridgelet, Curvelet
o Denoising
o Poisson noise
o Deconvolution
o Detection
o Compression
o Texture analysis
o Segmentation
o Compressed Sensing
o Morphological Diversity
o Inpainting
o Multi/Hyper-spectral Data
o Data on the Sphere
o Spectral Analyis
o Time Series: prediction,filtering
o Entropy

    Wavelet:

  1. F. Lanusse,A. Rassat,and J.-L. Starck, "Spherical 3D Isotropic Wavelets", Astronomy and Astrophysics , 540, A92, 2012.
  2. E. Deriaz, J.-L. Starck, and S. Pires, "Wavelet Helmholtz decomposition for Weak Lensing mass map reconstruction" , 534, A34, 2012.
  3. 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.
  4. F. Lanusse,A. Rassat,and J.-L. Starck, "Spherical 3D Isotropic Wavelets", Astronomy and Astrophysics , 540, A92, 2012.
  5. J.L. Starck, F. Murtagh, and J. Fadili, Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity , Cambridge University Press, Cambridge (GB), in press, 2010.
  6. 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).
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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
  13. 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.
  14. 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.
  15. 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 :

  1. F. Lanusse, J.-L. Starck, A. Woiselle and M.J. Fadili , "3D Sparse Representations", Advances in Imaging and Electron Physics , in press.
  2. J.-L. Starck, D.L. Donoho, M.J. Fadili and A. Rassat, "Sparsity and the Bayesian Perspective", Astronomy and Astrophysics , 552, A133, 2013.
  3. S. Beckouche, J.-L. Starck, G. Peyre and J. Fadili, "Astronomical Image Denoising using Dictionary Learning", Astronomy and Astrophysics , in press.
  4. 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.
  5. G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
  6. 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.
  7. 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.
  8. J.-L. Starck, Y. Moudden and J. Bobin, "Polarized Wavelets and Curvelets on the Sphere", Astronomy and Astrophysics, 497, pp 931--943, 2009.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. J.-L. Starck, E. Candes, and D.L. Donoho, "Astronomical Image Representation by the Curvelet Tansform" , Astronomy and Astrophysics, 398, 785--800, 2003.
  15. 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.
  16. 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.

    Noise Modeling and Denoising :

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. J.L. Starck and P. Querre, "Multispectral Image Restoration by the Wavelet-Karhunen-Loeve Transform", Signal Processing , 81, 12, pp 2449-2459, 2001.
  11. F. Murtagh and J.-L. Starck, "Image processing through multiscale analysis and measurement noise modeling", Statistics and Computing journal, 10, 95-103 , 2000.
  12. J.L. Starck and F. Murtagh, "Multiscale entropy filtering" , Signal Processing, 76, 147-165, 1999.
  13. 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.
  14. 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.
  15. 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.
  16. Starck, J.-L. and Murtagh, F., "Image restoration with noise suppression using the wavelet transform", Astronomy and Astrophysics, 288, 342-348, 1994.
  17. J.L. Starck, and A. Bijaoui, "Filtering and Deconvolution by the Wavelet Transform", Signal Processing, 35, 195--211, 1994.

    Poisson noise :

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. J.L. Starck, M. Pierre, "Structure Detection in Low Intensity X-Ray Images", Astronomy and Astrophysics, Suppl. Ser. , 128, pp 397--407, 1998.
  9. F. Murtagh and J.-L. Starck, "Pattern clustering based on noise modeling in wavelet space", Pattern Recognition, 31, 847-855, 1998.
  10. 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.

    Deconvolution - superresolution :

  1. H. Garsden, J. Girard, J.-L. Starck, S. Corbel, C. Tasse et al, "LOFAR Sparse Image Reconstruction", Astronomy and Astrophysics , submitted.
  2. F.M. 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 , in press.
  3. 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.
  4. 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.
  5. 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 .
  6. J.-L. Starck and M.J. Fadili, "An Overview of inverse problem regularization using sparsity", ICIP 09 , 2009.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Starck, J.-L. and Murtagh, F., "Image restoration with noise suppression using the wavelet transform", Astronomy and Astrophysics, 288, 342-348, 1994.
  18. J.L. Starck, and A. Bijaoui, "Multiresolution Deconvolution", J. Opt. Soc. Am. A, 11, No 4, 1994.
  19. 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.
  20. J.L. Starck, and A. Bijaoui, "Filtering and Deconvolution by the Wavelet Transform", Signal Processing, 35, 195--211, 1994.
  21. 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.

    Blind Source Separation :

  1. J. Rapin, J. Bobin, A. Larue, and J.-L. Starck, "NMF with Sparse Regularizations in Transformed Domains" , SIAM Journal on Imaging Sciences , in press.
  2. 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.
  3. J. Bobin, J.-L. Starck, F. Sureau and S. Basak, "Sparse component separation for accurate CMB map estimation" , Astronomy and Astrophysics , 550, A73, 2013.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.

    Detection :

  1. J.B. Melin et al, "A comparison of algorithms for the construction of SZ cluster catalogues", Astronomy and Astrophysics , 548, A51, pp 13, 2012.
  2. 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.
  3. 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.
  4. J.L. Starck, M. Pierre, "Structure Detection in Low Intensity X-Ray Images", Astronomy and Astrophysics, Suppl. Ser. , 128, pp 397--407, 1998.
  5. J.L. Starck, R. Siebenmorgen, and R. Gredel, "Spectral Analysis by the Wavelet Transform", Astrophysical Journal, Vol. 482, pp 1011--1020, 1997.
  6. 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.

    Compression :

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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" .
  7. M. Louys, J.L. Starck, S. Mei, F. Bonnarel, and F. Murtagh, "Astronomical Image Compression", Astronomy and Astrophysics Suppl. Ser. 136, 579-590 , 1999.
  8. M. Louys, J.L. Starck and F. Murtagh, "Lossless Compression of Astronomical Images", Irish Astronomical Journal , Vol 26, pp 119-120, 1999.

  9. 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.
  10. 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.
  11. J.L. Starck, F. Murtagh, and M. Louys, "High Quality Astronomical Image Compression", Vistas in Astronomoy, Vol. 41, No. 3, pp 439-446, 1997.
  12. J.L. Starck, F. Murtagh, and D. Durand, "New Result in Astronomical Image Compression", NASA Science Information Systems Newsletter, Vol. II, 1996, Issue 39.

    Texture analysis :

  1. G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
  2. 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.
  3. M.J. Fadili, J.-L. Starck and F. Murtagh, "Inpainting and Zooming using Sparse Representations" , The Computer Journal , 52, 1, pp 64-79, 2009.
  4. 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.

    Segmentation/clustering :

  1. 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.
  2. 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.
  3. 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.
  4. F. Murtagh and J.-L. Starck, "Wavelet product spaces: application to model-based segmentation and edge detection" , Optical Engineering, 42, 1375-1382, 2003.
  5. F. Murtagh and J.-L. Starck, "Quantization from Bayes Factors with Application to Multilevel Thresholding", Pattern Recognition letters, 24, 2001--2007, 2003.
  6. 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.
  7. F. Murtagh and J.-L. Starck, "Pattern clustering based on noise modeling in wavelet space", Pattern Recognition, 31, 847-855, 1998.
  8. 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).

    Compressed Sensing :

  1. H. Garsden, J.-L. Starck, S. Corbela, C. Tassec and A. Woiselle, "Compressed sensing imaging reconstruction for the LOFAR Radio Telescope", SPIE conference, August 2013.
  2. P. Paykari, S. Pires, J.-L. Starck and A. Jaffe, "Sparsely Sampling the Sky: Regular vs Random Sampling", MNRAS , submitted.
  3. 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.
  4. A. Leonard, F.X. Dupe, and J.-L. Starck, "A Compressed Sensing Approach to 3D Weak Lensing" , Astronomy and Astrophysics , 539, A85, 2012.
  5. 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.
  6. 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).
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. J. Bobin and J.-L. Starck, , Compressed Sensing in astronomy and remote sensing: a data fusion perspective , SPIE proceedings , 2009.
  13. 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.

    Morphological Diversity :

  1. 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.
  2. G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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 .
  12. 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.

    Inpainting :

  1. J.-L. Starck, A. Rassat, and M.J. Fadili, "Low-l CMB Analysis and Inpainting", Astronomy and Astrophysics , 550, A15, 2013.
  2. 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.
  3. G. Peyre, M.J. Fadili and J.L. Starck, , "Learning the Morphological Diversity", SIAM Journal of Imaging Science, 3 (3) , pp.646-669, 2010.
  4. K.H. Sato et al, "Inpainting: A powerful interpolation technique for helio- and asteroseismic data", arXiv:1003.5178v2 , 2010.
  5. 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.
  6. 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.
  7. M.J. Fadili, J.-L. Starck and F. Murtagh, "Inpainting and Zooming using Sparse Representations" , The Computer Journal , 52, 1, pp 64-79, 2009.
  8. 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.

    Multi/Hyper-spectral Data :

  1. 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.
  2. J. Bobin, J.-L. Starck, F. Sureau and S. Basak, "Sparse component separation for accurate CMB map estimation" , Astronomy and Astrophysics , 550, A73, 2013.
  3. E. Chapman et al , "The Scale of the Problem : Recovering Images of Reionization with GMCA", MNRAS, 429, pp 165-176, 2013.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. J.L. Starck and P. Querre, "Multispectral Image Restoration by the Wavelet-Karhunen-Loeve Transform", Signal Processing , 81, 12, pp 2449-2459, 2001.

    Data on the Sphere :

  1. F. Lanusse,A. Rassat,and J.-L. Starck, "Spherical 3D Isotropic Wavelets", Astronomy and Astrophysics , 540, A92, 2012.
  2. 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.
  3. 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.
  4. 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.
  5. J.-L. Starck, Y. Moudden and J. Bobin, "Polarized Wavelets and Curvelets on the Sphere", Astronomy and Astrophysics, 497, pp 931--943, 2009.
  6. 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.
  7. J.-L Starck, Y. Moudden, P. Abrial and M. Nguyen, "Wavelets, Ridgelets and Curvelets on the Sphere", Astronomy and Astrophysics, 446, 1191-1204, 2006.

    Time Series: prediction,filtering :

  1. 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.
  2. F. Murtagh, J.-L. Starck and O. Renaud, "On Neuro-Wavelet Modeling" , Decision Support Systems Journal, 37, 475-484, 2004.
  3. 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.
  4. 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.
  5. 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.

    Video :

  1. 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.
  2. 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.

    Spectral Analysis :

  1. 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 , submitted.
  2. J.L. Starck, R. Siebenmorgen, and R. Gredel, "Spectral Analysis by the Wavelet Transform", Astrophysical Journal, Vol. 482, pp 1011--1020, 1997.

    Entropy :

  1. 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.
  2. J.L. Starck and F. Murtagh, "Multiscale entropy filtering" , Signal Processing, 76, 147-165, 1999.
  3. 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.
  4. 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.
  5. 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.
  6. J.L. Starck,and E. Pantin, "Multiscale Maximum Entropy Images Restoration", Vistas in Astronomoy, Vol. 40, No. 4, pp1-6, 1996.
  7. 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 ".