Efficient Online Optimization Techniques for Dynamic Imaging Problems

This paper presents an improved predictive online primal-dual method (POPD2) for efficiently solving dynamic inverse problems in applications such as image stabilization, fluid flow monitoring, and dynamic medical imaging. The method provides a more concise analysis, relaxes restrictive conditions on the dual predictor, and develops several improved dual predictors.