关键词: 图像去噪, 各向异性扩散, 扩散系数, 相关系数

Abstract: In the process of image denoising, in order to remove noise effectively and preserve edges and key details, the diffusion coefficient based on the Cattle model is improved and a more effective adaptive denoising model is proposed. The model can not only adopt different diffusion coefficient according to different sizes of the gradient but also lead the edge sharping factor of second order partial deviation into the diffusion coefficient. The best stop time evaluation criteria based on correlation coefficient is proposed in the mean time. The experimental results show that the improved model is superior to C model, and can better coincide with the judge standard.

Key words: image denoising, anisotropic diffusion, diffusion coefficient, correlation coefficient