no code implementations • 19 Feb 2024 • Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Droege, Michael Moeller
This paper attempts to provide an overview of current approaches for solving inverse problems in imaging using variational methods and machine learning.
1 code implementation • 14 Dec 2022 • Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger
The reconstruction of images from their corresponding noisy Radon transform is a typical example of an ill-posed linear inverse problem as arising in the application of computerized tomography (CT).
