Abstract: The key difficulty in image denoising using diffusion filter is how to control the diffusion function in different location where the ratio of image information and noise. Aiming to this difficult， this article uses a new idea in which by regarding the intensity images as two-dimensional surface in a three-dimensional space， one can get the two base properties of image surface in the threedimensional space: gauss curvature and mean curvature. Nonlinear diffusion filter using surface properties for noise removal is a new type of noise removal filter. This paper proposes a blend curvature driven diffusion model which synthesizes image surface’s Gauss curvature and means curvature information. The main advantage of this model is that it preserves important image structures and has a suitable diffusion speed.