2017 - Inverse Problems and Imaging

This summer school considered the analytical and numerical treatment of inverse problems in the context of multi-modal and hybrid schemes as well as in imaging. A particular focus was set on adapted sparsity regularization and suitable numerical algorithms.

The school was particularly interesting for advanced Master students, PhD students and PostDocs working on inverse problems, on imaging, or on related subjects.

Organization Committee

Prof. Dr. Houssem HaddarINRIA Saclay, France
Prof. Dr. Armin LechleiterUniversity of Bremen, Germany


Prof. Dr. Simon ArridgeUniversity College, United Kingdom
Prof. Dr. Guillaume BalUniversity of Chicago, United States
Prof. Dr. Antonin ChambolleCNRS/Ecole Polytechnique, France
Prof. Dr. Dirk LorenzUniversität Braunschweig, Germany


Lectures covered the following topics in the general framework of inverse problems and imaging.

  • Multi-modal inverse problems
  • Hybrid methods for inverse problems
  • Sparsity regularization
  • Algorithms for sparsity regularization

For more infornation visit the Official Website.

Inverse Problems and Imaging