Literature DB >> 16028554

Noise removal with gauss curvature-driven diffusion.

Suk-Ho Lee1, Jin Keun Seo.   

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.

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Year:  2005        PMID: 16028554     DOI: 10.1109/tip.2005.849294

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Reconstruction of Positron Emission Tomography Images Using Gaussian Curvature.

Authors:  Jose Mejia; Boris Mederos; Jie Zhao; Leticia Ortega; Nelly Gordillo
Journal:  J Healthc Eng       Date:  2018-11-15       Impact factor: 2.682

  1 in total

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