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Noise removal with Gauss curvature-driven diffusion
92
Citations
12
References
2005
Year
Numerical AnalysisEngineeringNoiseImage DenoisingInverse ProblemsDiffusion-based ModelingSpatial FilteringMedical Image ComputingNoise RemovalSignal ProcessingGauss CurvatureNoise ReductionConductance TermGauss 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.
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