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Jean-Luc Starck: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jean-Luc Starck, Mai K. Nguyen, Fionn Murtagh
    Deconvolution based on the curvelet transform. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:993-996 [Conf]
  2. Pierrick Abrial, Jean-Luc Starck, Yassir Moudden, Mai K. Nguyen
    Curvelet transform on the sphere. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:737-740 [Conf]
  3. Mohamed-Jalal Fadili, Jean-Luc Starck
    EM algorithm for sparse representation-based image inpainting. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2005, pp:61-64 [Conf]
  4. Fionn Murtagh, Jean-Luc Starck, Michael W. Berry
    Overcoming the Curse of Dimensionality in Clustering by Means of the Wavelet Transform. [Citation Graph (0, 0)][DBLP]
    Comput. J., 2000, v:43, n:2, pp:107-120 [Journal]
  5. Jean-Luc Starck, Fionn Murtagh, Albert Bijaoui
    Multiresolution Support Applied to Image Filtering and Restoration. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1995, v:57, n:5, pp:420-431 [Journal]
  6. Fionn Murtagh, M. Luoys, Jean-Luc Starck, F. Bonnarel
    Compression of grayscale scientific and medical image data. [Citation Graph (0, 0)][DBLP]
    Data Science Journal, 2002, v:1, n:1, pp:111-127 [Journal]
  7. Fionn Murtagh, Jean-Luc Starck, O. Renaud
    On neuro-wavelet modeling. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2004, v:37, n:4, pp:475-484 [Journal]
  8. Mitchel Morehart, Fionn Murtagh, Jean-Luc Starck
    Spatial representation of economic and financial measures used in agriculture via wavelet analysis. [Citation Graph (0, 0)][DBLP]
    International Journal of Geographical Information Science, 1999, v:13, n:6, pp:557-576 [Journal]
  9. D. Benaouda, Fionn Murtagh, Jean-Luc Starck, O. Renaud
    Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:70, n:1-3, pp:139-154 [Journal]
  10. Fionn Murtagh, Adrian E. Raftery, Jean-Luc Starck
    Bayesian inference for multiband image segmentation via model-based cluster trees. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2005, v:23, n:6, pp:587-596 [Journal]
  11. Fionn Murtagh, Xiaoyu Qiao, Danny Crookes, Paul Walsh, P. Basheer, Adrian Long, Jean-Luc Starck
    A machine vision approach to the grading of crushed aggregate. [Citation Graph (0, 0)][DBLP]
    Mach. Vis. Appl., 2005, v:16, n:4, pp:229-235 [Journal]
  12. Fionn Murtagh, Jean-Luc Starck
    Pattern clustering based on noise modeling in wavelet space. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1998, v:31, n:7, pp:847-855 [Journal]
  13. Fionn Murtagh, Jean-Luc Starck
    Quantization from Bayes factors with application to multilevel thresholding. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:12, pp:2001-2007 [Journal]
  14. Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho
    The curvelet transform for image denoising. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2002, v:11, n:6, pp:670-684 [Journal]
  15. Jean-Luc Starck, Michael Elad, David L. Donoho
    Image Decomposition via the Combination of Sparse Representations and a Variational Approach. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:10, pp:1570-1582 [Journal]
  16. Jean-Luc Starck, Fionn Murtagh, Emmanuel J. Candès, David L. Donoho
    Gray and color image contrast enhancement by the curvelet transform. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2003, v:12, n:6, pp:706-717 [Journal]
  17. O. Renaud, Jean-Luc Starck, Fionn Murtagh
    Wavelet-based combined signal filtering and prediction. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:6, pp:1241-1251 [Journal]
  18. Jean-Luc Starck, P. Querre
    Multispectral data restoration by the wavelet Karhunen-Loève transform. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2001, v:81, n:12, pp:2449-2459 [Journal]
  19. Jean-Luc Starck, Mai K. Nguyen, Fionn Murtagh
    Wavelets and curvelets for image deconvolution: a combined approach. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2003, v:83, n:10, pp:2279-2283 [Journal]
  20. Jean-Luc Starck, Jalal Fadili, Fionn Murtagh
    The Undecimated Wavelet Decomposition and its Reconstruction. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:2, pp:297-309 [Journal]
  21. Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, David L. Donoho
    Morphological Component Analysis: An Adaptive Thresholding Strategy. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:11, pp:2675-2681 [Journal]
  22. Jérôme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden
    Sparsity and Morphological Diversity in Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:11, pp:2662-2674 [Journal]

  23. Morphological Diversity and Sparsity in Blind Source Separation. [Citation Graph (, )][DBLP]

  24. Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging. [Citation Graph (, )][DBLP]

  25. Image deconvolution by stein block thresholding. [Citation Graph (, )][DBLP]

  26. An overview of inverse problem regularization using sparsity. [Citation Graph (, )][DBLP]

  27. Sparsity and morphological diversity for hyperspectral data analysis. [Citation Graph (, )][DBLP]

  28. Monotone operator splitting for optimization problems in sparse recovery. [Citation Graph (, )][DBLP]

  29. Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis. [Citation Graph (, )][DBLP]

  30. Deconvolution of confocal microscopy images using proximal iteration and sparse representations. [Citation Graph (, )][DBLP]

  31. Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration. [Citation Graph (, )][DBLP]

  32. Morphological Diversity and Sparse Image Denoising. [Citation Graph (, )][DBLP]

  33. Inpainting and Zooming Using Sparse Representations. [Citation Graph (, )][DBLP]

  34. Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading [Citation Graph (, )][DBLP]

  35. Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation [Citation Graph (, )][DBLP]

  36. MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting. [Citation Graph (, )][DBLP]

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