logo ifip     27 th IFIP TC7 Conference 2015

on System Modelling and Optimization

SophiaTech Campus
Sophia Antipolis, France
June 29-July 3rd, 2015


Non-convex optimisation in the imaging sciences

Martin Benning (University of Lubeck), Carola Schonlieb, and Tuomo Valkonen (University of Cambridge)

Optimisation methods for inverse problems involving nonlinear forward operator have so far received little attention. Yet many applied inverse problems are naturally of this form. Examples include magnetic resonance imaging tasks such as diffusion tensor imaging and velocity imaging. Further non-convex optimisation problems in the imaging sciences arise from improved regularisation functionals, modelling our prior assumptions on image curvature or gradient statistics. This minisymposium discusses recent advances in numerical methods for non-convex optimisation and their applications in the imaging sciences.