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: Dec. 31, 2019.

Coordinator: Charles Soussen, CRAN, Université de Lorraine.

ImpressionThe project is supported by the French competitiveness centers Images & Réseaux and ASTech.




Last updated: February 23, 2016 at 16:24 pm