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 | |
| Publication status | Published - 2005 Jul |
All Science Journal Classification (ASJC) codes
- Software
- Computer Graphics and Computer-Aided Design
Cite this
Lee, S. H., & Seo, J. K. (2005). Noise removal with Gauss curvature-driven diffusion. IEEE Transactions on Image Processing, 14(7), 904-909. https://doi.org/10.1109/TIP.2005.849294