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Non-smooth variational regularization for processing manifold-valued data
[article]
2019
arXiv
pre-print
Many methods for processing scalar and vector valued images, volumes and other data in the context of inverse problems are based on variational formulations. Such formulations require appropriate regularization functionals that model expected properties of the object to reconstruct. Prominent examples of regularization functionals in a vector-space context are the total variation (TV) and the Mumford-Shah functional, as well as higher-order schemes such as total generalized variation models.
arXiv:1909.08921v1
fatcat:dz6qdvkhibbrhjbjmnh3ryvko4