High-order total variation-based image restoration

T. Chan*, A. Marquina, P. Mulet

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

561 Scopus citations

Abstract

The total variation (TV) denoising method is a PDE-based technique that preserves edges well but has the sometimes undesirable staircase effect, namely, the transformation of smooth regions (ramps) into piecewise constant regions (stairs). In this paper we present an improved model, constructed by adding a nonlinear fourth order diffusive term to the Euler-Lagrange equations of the variational TV model. Our technique substantially reduces the staircase effect, while preserving sharp jump discontinuities (edges). We show numerical evidence of the power of resolution of this novel model with respect to the TV model in some 1D and 2D numerical examples.

Original languageEnglish (US)
Pages (from-to)503-516
Number of pages14
JournalSIAM Journal on Scientific Computing
Volume22
Issue number2
DOIs
StatePublished - Apr 23 2001
Externally publishedYes

Keywords

  • Fourth order PDE
  • Image denoising
  • Total variation

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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