Nonlinear diffusion filtering on extended neighborhood

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20 Scopus citations

Abstract

A generalization to the nonlinear diffusion of digital images is proposed, taking into account an extended neighborhood as a prolongation to information derived from local, nearest-neighboring pixels. Traditionally, each iteration in nonlinear diffusion filtering is performed on a 3 × 3 window. While several iterations can propagate this local information to pixels which are further away from the center of the window, it clearly presents a limitation in some applications as compared to non-PDE based filtering approaches in which the window is larger than 3 × 3. Here, an extension is presented to describe the nonlinear diffusion equation for larger windows, thus overcoming this limitation.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalApplied Numerical Mathematics
Volume52
Issue number1
DOIs
StatePublished - 1 Jan 2005
Externally publishedYes

Keywords

  • Adaptive smoothing
  • Digital TV filtering
  • Extended neighborhood
  • Nonlinear diffusion filtering

ASJC Scopus subject areas

  • Numerical Analysis
  • Computational Mathematics
  • Applied Mathematics

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