Noise removal with Gauss curvature-driven diffusion

Suk Ho Lee; Jin Keun Seo

doi:10.1109/TIP.2005.849294

Noise removal with Gauss curvature-driven diffusion

Suk Ho Lee, Jin Keun Seo

Department of Computational Science and Engineering

Research output: Contribution to journal › Article › peer-review

83 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 language	English
Pages (from-to)	904-909
Number of pages	6
Journal	IEEE Transactions on Image Processing
Volume	14
Issue number	7
DOIs	https://doi.org/10.1109/TIP.2005.849294
Publication status	Published - 2005 Jul

Bibliographical note

Funding Information:
Manuscript received December 31, 2003; revised July 9, 2004. This work was supported by the Korea Science and Engineering Foundation under Grant R11-2002-103. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Giovanni Ramponi. The authors are with the Department of Mathematics, Yonsei University, Seoul 120-749, Korea (e-mail: petrasuk@hanmail.net). Digital Object Identifier 10.1109/TIP.2005.849294

All Science Journal Classification (ASJC) codes

Software
Computer Graphics and Computer-Aided Design

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10.1109/TIP.2005.849294

Cite this

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Noise removal with Gauss curvature-driven diffusion

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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