关键词: 图像去噪, 法曲率, 曲面演化

Abstract: Images are considered as surfaces in high-dimensional space by surface evolution driven image denoising models.The local surface geometrical features are applied to differentiate between image edges and noises and used to control the speed of image surface evolution，which has produced good performance.In this paper，the advantages and disadvantages of principal curvature driven surface evolution models are analyzed and the normal curvature driven surface evolution model is proposed.The new model is the generalization of the existed curvature driven surface evolution models.Because the normal curvature has better performance over principal curvature in describing the geometric features of image edges，textures and noise，the new model is demonstrated better in the preservation of image edges and textures.

Key words: image denoising, normal curvature, surface evolution