Edge Aligning Image RegularizationsMS23

This talk will give an overview of different strategies for image regularizations that encourage edges in multiple channels to coincide. The position and direction of such edges can either be predetermined by a guidance image or estimated during the reconstruction of multiple channels. For the latter I will present an iterative strategy based on Bregman distances as well as collaborative total variation and total generalized variation type penalties.

This presentation is part of Minisymposium “MS23 - Multi-Modality/Multi-Spectral Imaging and Structural Priors (2 parts)
organized by: Matthias J. Ehrhardt (University of Cambridge) , Simon Arridge (University College London) .

Michael Moeller (University of Siegen)