Denoising methods for imaging
Otmar Scherzer
University of Innsbruck
Mathematics
In this talk we present some imaging problems which can be efficiently solved using denoising techniques.
In the second part of my talk I give an overview on denoising techniques, including variational principles, differential equations, tube methods and nonconvex and statistical regularization functionals. A review on the convergence analysis of these methods is presented