Abstract
Denoising methods for imaging
Otmar Scherzer
Leopold-Franzens Universität Innsbruck
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
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
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