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Showing 1 to 2 of 2 for “"Higher-Order Regularisation"”.
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Novel higher order regularisation methods for image reconstruction
In this thesis we study novel higher order total variation-based variational methods for digital image reconstruction. These methods are formulated in the context of Tikhonov regularisation. We focus on regularisation techniques in which the regulariser incorporates second order derivatives or a …
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Mathematical Imaging Tools in Cancer Research - From Mitosis Analysis to Sparse Regularisation
… mathematical imaging has become crucial in order to account for advancements in technical equipment and data storage by sound mathematical methods that can process and analyse imaging data in an automated way. This thesis contributes to the development of such mathematically sound imaging …