Mathematics > Numerical Analysis
[Submitted on 20 Dec 2018]
Title:Recent Advances in Denoising of Manifold-Valued Images
View PDFAbstract:Modern signal and image acquisition systems are able to capture data that is no longer real-valued, but may take values on a manifold. However, whenever measurements are taken, no matter whether manifold-valued or not, there occur tiny inaccuracies, which result in noisy data. In this chapter, we review recent advances in denoising of manifold-valued signals and images, where we restrict our attention to variational models and appropriate minimization algorithms. The algorithms are either classical as the subgradient algorithm or generalizations of the half-quadratic minimization method, the cyclic proximal point algorithm, and the Douglas-Rachford algorithm to manifolds. An important aspect when dealing with real-world data is the practical implementation. Here several groups provide software and toolboxes as the Manifold Optimization (Manopt) package and the manifold-valued image restoration toolbox (MVIRT).
Submission history
From: Friederike Johanna Laus [view email][v1] Thu, 20 Dec 2018 13:03:54 UTC (9,078 KB)
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