The principle curvature-driven diffusion model for image de-noising
Xin Qiao · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2013
Abstr act In this paper, we discuss a weighted average of the maximum and minimal principle curvature as the diffusion coefficient for de-noising digital images with an additive noise.The main advantage of this approach is that it preserves important structures similar to Gauss curvature-driven diffusion, and it has a stable and fast numerical algorithm.Moreover, the proposed model helps gaining better de-noising results than Gauss curvature-driven diffusion.Keywor ds Image de-noising Perona and Malik equation Principle curvature Gauss curvature Diffusion coefficient