Noise removal with Gauss curvature-driven diffusion
Copyright policy )Noise removal with Gauss curvature-driven diffusion
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.
- Yonsei University Korea (Republic of)
Models, Statistical, Artificial Intelligence, Image Interpretation, Computer-Assisted, Normal Distribution, Information Storage and Retrieval, Reproducibility of Results, Computer Simulation, Image Enhancement, Sensitivity and Specificity, Algorithms
Models, Statistical, Artificial Intelligence, Image Interpretation, Computer-Assisted, Normal Distribution, Information Storage and Retrieval, Reproducibility of Results, Computer Simulation, Image Enhancement, Sensitivity and Specificity, Algorithms
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