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Noise removal with Gauss curvature-driven diffusion

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2 Author(s)
Suk-ho Lee ; Dept. of Math., Yonsei Univ., Seoul, South Korea ; Jin Keun Seo

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:14 ,  Issue: 7 )