| 2009 |
|---|
| 30 | EE | Yassir Moudden,
Jérôme Bobin,
Jean-Luc Starck,
Jalal Fadili:
Blind Source Separation with Spatio-SpectralSparsity Constraints - Application to Hyperspectral Data Analysis.
ICA 2009: 523-531 |
| 29 | EE | François-Xavier Dupé,
Mohamed-Jalal Fadili,
Jean-Luc Starck:
A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations.
IEEE Transactions on Image Processing 18(2): 310-321 (2009) |
| 2008 |
|---|
| 28 | EE | François-Xavier Dupé,
Mohamed-Jalal Fadili,
Jean-Luc Starck:
Deconvolution of confocal microscopy images using proximal iteration and sparse representations.
ISBI 2008: 736-739 |
| 27 | EE | Fionn Murtagh,
Jean-Luc Starck:
Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
CoRR abs/0802.3528: (2008) |
| 26 | EE | Bo Zhang,
Mohamed-Jalal Fadili,
Jean-Luc Starck:
Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal.
IEEE Transactions on Image Processing 17(7): 1093-1108 (2008) |
| 25 | EE | Fionn Murtagh,
Jean-Luc Starck:
Wavelet and curvelet moments for image classification: Application to aggregate mixture grading.
Pattern Recognition Letters 29(10): 1557-1564 (2008) |
| 2007 |
|---|
| 24 | EE | Jérôme Bobin,
Yassir Moudden,
Jalal Fadili,
Jean-Luc Starck:
Morphological Diversity and Sparsity in Blind Source Separation.
ICA 2007: 349-356 |
| 23 | EE | Bo Zhang,
Jalal Fadili,
Jean-Luc Starck,
Jean-Christophe Olivo-Marin:
Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging.
ICIP (6) 2007: 233-236 |
| 22 | EE | Jérôme Bobin,
Jean-Luc Starck,
Jalal Fadili,
Yassir Moudden:
Sparsity and Morphological Diversity in Blind Source Separation.
IEEE Transactions on Image Processing 16(11): 2662-2674 (2007) |
| 21 | EE | Jérôme Bobin,
Jean-Luc Starck,
Jalal Fadili,
Yassir Moudden,
David L. Donoho:
Morphological Component Analysis: An Adaptive Thresholding Strategy.
IEEE Transactions on Image Processing 16(11): 2675-2681 (2007) |
| 20 | EE | Jean-Luc Starck,
Jalal Fadili,
Fionn Murtagh:
The Undecimated Wavelet Decomposition and its Reconstruction.
IEEE Transactions on Image Processing 16(2): 297-309 (2007) |
| 2006 |
|---|
| 19 | EE | D. Benaouda,
Fionn Murtagh,
Jean-Luc Starck,
O. Renaud:
Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting.
Neurocomputing 70(1-3): 139-154 (2006) |
| 2005 |
|---|
| 18 | EE | Pierrick Abrial,
Jean-Luc Starck,
Yassir Moudden,
Mai K. Nguyen:
Curvelet transform on the sphere.
ICIP (1) 2005: 737-740 |
| 17 | EE | Mohamed-Jalal Fadili,
Jean-Luc Starck:
EM algorithm for sparse representation-based image inpainting.
ICIP (2) 2005: 61-64 |
| 16 | EE | Jean-Luc Starck,
Michael Elad,
David L. Donoho:
Image Decomposition via the Combination of Sparse Representations and a Variational Approach.
IEEE Transactions on Image Processing 14(10): 1570-1582 (2005) |
| 15 | EE | O. Renaud,
Jean-Luc Starck,
Fionn Murtagh:
Wavelet-based combined signal filtering and prediction.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(6): 1241-1251 (2005) |
| 14 | EE | Fionn Murtagh,
Adrian E. Raftery,
Jean-Luc Starck:
Bayesian inference for multiband image segmentation via model-based cluster trees.
Image Vision Comput. 23(6): 587-596 (2005) |
| 13 | EE | 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.
Mach. Vis. Appl. 16(4): 229-235 (2005) |
| 2004 |
|---|
| 12 | EE | Fionn Murtagh,
Jean-Luc Starck,
O. Renaud:
On neuro-wavelet modeling.
Decision Support Systems 37(4): 475-484 (2004) |
| 2003 |
|---|
| 11 | | Jean-Luc Starck,
Mai K. Nguyen,
Fionn Murtagh:
Deconvolution based on the curvelet transform.
ICIP (2) 2003: 993-996 |
| 10 | EE | Jean-Luc Starck,
Fionn Murtagh,
Emmanuel J. Candès,
David L. Donoho:
Gray and color image contrast enhancement by the curvelet transform.
IEEE Transactions on Image Processing 12(6): 706-717 (2003) |
| 9 | EE | Fionn Murtagh,
Jean-Luc Starck:
Quantization from Bayes factors with application to multilevel thresholding.
Pattern Recognition Letters 24(12): 2001-2007 (2003) |
| 8 | EE | Jean-Luc Starck,
Mai K. Nguyen,
Fionn Murtagh:
Wavelets and curvelets for image deconvolution: a combined approach.
Signal Processing 83(10): 2279-2283 (2003) |
| 2002 |
|---|
| 7 | | Fionn Murtagh,
M. Luoys,
Jean-Luc Starck,
F. Bonnarel:
Compression of grayscale scientific and medical image data.
Data Science Journal 1(1): 111-127 (2002) |
| 6 | EE | Jean-Luc Starck,
Emmanuel J. Candès,
David L. Donoho:
The curvelet transform for image denoising.
IEEE Transactions on Image Processing 11(6): 670-684 (2002) |
| 2001 |
|---|
| 5 | EE | Jean-Luc Starck,
P. Querre:
Multispectral data restoration by the wavelet Karhunen-Loève transform.
Signal Processing 81(12): 2449-2459 (2001) |
| 2000 |
|---|
| 4 | | Fionn Murtagh,
Jean-Luc Starck,
Michael W. Berry:
Overcoming the Curse of Dimensionality in Clustering by Means of the Wavelet Transform.
Comput. J. 43(2): 107-120 (2000) |
| 1999 |
|---|
| 3 | EE | Mitchel Morehart,
Fionn Murtagh,
Jean-Luc Starck:
Spatial representation of economic and financial measures used in agriculture via wavelet analysis.
International Journal of Geographical Information Science 13(6): 557-576 (1999) |
| 1998 |
|---|
| 2 | EE | Fionn Murtagh,
Jean-Luc Starck:
Pattern clustering based on noise modeling in wavelet space.
Pattern Recognition 31(7): 847-855 (1998) |
| 1995 |
|---|
| 1 | | Jean-Luc Starck,
Fionn Murtagh,
Albert Bijaoui:
Multiresolution Support Applied to Image Filtering and Restoration.
CVGIP: Graphical Model and Image Processing 57(5): 420-431 (1995) |
