200 citations · 216 across the 3 of their papers we have counts for
4 papers · 1 filter
Data augmentation for galaxy density map reconstruction
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
The matter density is an important knowledge for today cosmology as many phenomena are linked to matter fluctuations. However, this density is not directly available, but estimated…
Inverse Problems with Poisson noise: Primal and Primal-Dual Splitting
François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck
In this paper, we propose two algorithms for solving linear inverse problems when the observations are corrupted by Poisson noise. A proper data fidelity term (log-likelihood) is i…
A proximal iteration for deconvolving Poisson noisy images using sparse representations
François-Xavier Dupé, Jalal Fadili, Jean Luc Starck
We propose an image deconvolution algorithm when the data is contaminated by Poisson noise. The image to restore is assumed to be sparsely represented in a dictionary of waveforms…
Deconvolution of confocal microscopy images using proximal iteration and sparse representations
François-Xavier Dupé, Jalal Fadili, Jean Luc Starck
We propose a deconvolution algorithm for images blurred and degraded by a Poisson noise. The algorithm uses a fast proximal backward-forward splitting iteration. This iteration min…