Wavelet-based priors accelerate maximum-a-posteriori optimization in Bayesian inverse problems

Philipp Wacker, Peter Knabner

Wavelet (Besov) priors are a promising way of reconstructing indirectly measured fields in a regularized manner. We demonstrate how wavelets can be used as a localized basis for re…