activity
20072026
most citedA Proximal Decomposition Method for Solving Convex Variational Inverse Problems

208 citations · 1.7k across the 69 of their papers we have counts for

collaborators
Showing 2009Show all

5 papers · 1 filter

math.OC2009★ 122 cited

Proximal Splitting Methods in Signal Processing

Patrick L. Combettes, Jean-Christophe Pesquet

The proximity operator of a convex function is a natural extension of the notion of a projection operator onto a convex set. This tool, which plays a central role in the analysis a…

stat.ME2009★ 6 cited

A Hierarchical Bayesian Model for Frame Representation

L. Chaâri, J. -C. Pesquet, J. -Y. Tourneret +2

In many signal processing problems, it may be fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate…

math.OC2009★ 7 cited

Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version

Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet

Regularization approaches have demonstrated their effectiveness for solving ill-posed problems. However, in the context of variational restoration methods, a challenging question r…

math.OC2009★ 1 cited

An Iterative Method for Parallel MRI SENSE-based Reconstruction in the Wavelet Domain

Lotfi Chaari, Jean-Christophe Pesquet, Philippe Ciuciu +1

To reduce scanning time and/or improve spatial/temporal resolution in some MRI applications, parallel MRI (pMRI) acquisition techniques with multiple coils acquisition have emerged…

cs.IT2009★ 19 cited

Optimization of Synthesis Oversampled Complex Filter Banks

Jerome Gauthier, Laurent Duval, Jean-Christophe Pesquet

An important issue with oversampled FIR analysis filter banks (FBs) is to determine inverse synthesis FBs, when they exist. Given any complex oversampled FIR analysis FB, we first…