Back on June 6-11th there was a meeting in the south of France loosely translated into Image Processing and Optimization. While the presentations were given in French as well as the title, the slides themselves are in English. Here is the program and here are the presentations related to compressive sensing (all other slides are here) and their presenters:
- A Compressed Sensing Framework for Biological Microscopy, Elsa Angelini
- Regularizing parameter estimation for Poisson noisy image restoration, Laure Blanc-Féraud
- Méthodes proximales pour la reconstruction tomographique CBCT et TEP en imagerie médicale, Yannick Boursier
- Proximal algorithms for image restoration, Nelly Pustelnik
- A memory gradient algorithm for ℓ2-ℓ0 regularization with applications to image restoration, Emilie Chouzenoux
- Sparse Regularization, Christine De Mol
- Proximal splitting methods for depth estimation., Mireille El-Gheche
- Support identification of sparse vectors from random and noisy measurements., Charles Dossal
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