208 citations · 1.7k across the 69 of their papers we have counts for
3 papers · 2 filters
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…
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…