Beyond Compressive Sensing: Sparse approximation algorithms for ill-conditioned inverse problems.
The BECOSE project, funded by the French National Research Agency (No. ANR-15-CE23-0021), aims at developing and analyzing sparsity based algorithms dedicated to ill-posed inverse problems arising in signal and image processing [detailed summary and workpackages].
The list of partners can be found here.
Beginning of the project: January 1, 2016.
End of the project: Mar. 31, 2021.
Coordinator: Charles Soussen, CRAN, Université de Lorraine.
The project is supported by the French competitiveness centers Images & Réseaux and ASTech.
Last updated: August 25, 2020 at 17:36 pm