English

Discrete Total Variation with Finite Elements and Applications to Imaging

Numerical Analysis 2018-08-17 v2 Optimization and Control

Abstract

The total variation (TV)-seminorm is considered for piecewise polynomial, globally discontinuous (DG) and continuous (CG) finite element functions on simplicial meshes. A novel, discrete variant (DTV) based on a nodal quadrature formula is defined. DTV has favorable properties, compared to the original TV-seminorm for finite element functions. These include a convenient dual representation in terms of the supremum over the space of Raviart--Thomas finite element functions, subject to a set of simple constraints. It can therefore be shown that a variety of algorithms for classical image reconstruction problems, including TV-L2L^2 and TV-L1L^1, can be implemented in low and higher-order finite element spaces with the same efficiency as their counterparts originally developed for images on Cartesian grids.

Keywords

Cite

@article{arxiv.1804.07477,
  title  = {Discrete Total Variation with Finite Elements and Applications to Imaging},
  author = {Marc Herrmann and Roland Herzog and Stephan Schmidt and José Vidal-Núñez and Gerd Wachsmuth},
  journal= {arXiv preprint arXiv:1804.07477},
  year   = {2018}
}
R2 v1 2026-06-23T01:29:33.574Z