Noise removal with Gauss curvature-driven diffusion

Suk Ho Lee, Jin Keun Seo

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

In this paper, we propose the use of the Gauss curvature in a Gauss curvature-driven diffusion equation for noise removal. The proposed scheme uses the Gauss curvature as the conductance term and controls the amount of diffusion. The main advantage of the scheme is that it preserves important structures, such as straight edges, curvy edges, ramps, corners, small-scaled features, etc.

Original languageEnglish
Pages (from-to)904-909
Number of pages6
JournalIEEE Transactions on Image Processing
Volume14
Issue number7
DOIs
Publication statusPublished - 2005 Jul 1

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

Cite this

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Noise removal with Gauss curvature-driven diffusion. / Lee, Suk Ho; Seo, Jin Keun.

In: IEEE Transactions on Image Processing, Vol. 14, No. 7, 01.07.2005, p. 904-909.

Research output: Contribution to journalArticle

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