Hermite multiwavelets for manifold-valued data

Published: 01 Jan 2021, Last Modified: 09 May 2025CoRR 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this paper we present a construction of interpolatory Hermite multiwavelets for functions that take values in nonlinear geometries such as Riemannian manifolds or Lie groups. We rely on the strong connection between wavelets and subdivision schemes to define a prediction-correction approach based on Hermite subdivision schemes that operate on manifold-valued data. The main result concerns the decay of the wavelet coefficients: We show that our manifold-valued construction essentially admits the same coefficient decay as linear Hermite wavelets, which also generalizes results on manifold-valued scalar wavelets.
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