WIAS Preprint No. 2293, (2016)

Analytical aspects of spatially adapted total variation regularisation



Authors

  • Hintermüller, Michael
    ORCID: 0000-0001-9471-2479
  • Papafitsoros, Konstantinos
  • Rautenberg, Carlos N.
    ORCID: 0000-0001-9497-9296

2010 Mathematics Subject Classification

  • 26B30 49Q20 65J20

Keywords

  • Total variation minimisation, weighted total variation, denoising, structure of solutions, regularisation

DOI

10.20347/WIAS.PREPRINT.2293

Abstract

In this paper we study the structure of solutions of the one dimensional weighted total variation regularisation problem, motivated by its application in signal recovery tasks. We study in depth the relationship between the weight function and the creation of new discontinuities in the solution. A partial semigroup property relating the weight function and the solution is shown and analytic solutions for simply data functions are computed. We prove that the weighted total variation minimisation problem is well-posed even in the case of vanishing weight function, despite the lack of coercivity. This is based on the fact that the total variation of the solution is bounded by the total variation of the data, a result that it also shown here. Finally the relationship to the corresponding weighted fidelity problem is explored, showing that the two problems can produce completely different solutions even for very simple data functions.

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