208 citations · 1.7k across the 69 of their papers we have counts for
5 papers · 1 filter
A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise
Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux +1
In this paper, a methodology is investigated for signal recovery in the presence of non-Gaussian noise. In contrast with regularized minimization approaches often adopted in the li…
Proximity Operators of Discrete Information Divergences
Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
Information divergences allow one to assess how close two distributions are from each other. Among the large panel of available measures, a special attention has been paid to conve…
Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm -- Extended Version
Emilie Chouzenoux, Jean-Christophe Pesquet
State-of-the-art methods for solving smooth optimization problems are nonlinear conjugate gradient, low memory BFGS, and Majorize-Minimize (MM) subspace algorithms. The MM subspace…
Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration
Patrick L. Combettes, Jean-Christophe Pesquet
Stochastic approximation techniques have been used in various contexts in data science. We propose a stochastic version of the forward-backward algorithm for minimizing the sum of…
Scalable splitting algorithms for big-data interferometric imaging in the SKA era
Alexandru Onose, Rafael E. Carrillo, Audrey Repetti +4
In the context of next generation radio telescopes, like the Square Kilometre Array, the efficient processing of large-scale datasets is extremely important. Convex optimisation ta…