A finite element formulation of the total variation method for denoising a set of data

P. J. Harris*, K. Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The problem of removing the noise from an image can be formulated as the solution of a nonlinear differential equation. In most work, the finite different method is used to approximate the differential equation and a fixed-point method is used to solve the resulting nonlinear algebraic equations. However, the differential equation is such that an alternative system of nonlinear equations can be obtained by using a Galerkin based finite element formulation. The equations which result from the finite element method can be solved using Newton’s method rather than a fixed point method. This paper will consider the Galerkin finite element formulation of this problem and investigate the convergence of Newton’s method for obtaining the solution to the nonlinear system of equations. The methods will be illustrated with a number of typical one- and two-dimensional examples.

Original languageEnglish
Title of host publicationIntegral Methods in Science and Engineering
Subtitle of host publicationProgress in Numerical and Analytic Techniques
EditorsChristian Constanda, Bardo E.J. Bodmann, Haroldo F. de Campos Velho
Place of PublicationBirkhäuser, New York
PublisherSpringer
Pages175-182
Number of pages8
ISBN (Electronic)9781461478287
ISBN (Print)9781489996183, 9781461478270
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • convergence of Newton’s method
  • Galerkin finite element method
  • noise removal from images
  • non-linear problem

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