The anisotropic diffusion is a selective smoothing technique that effectively employs intra-region smoothing without limitation while inhibits inter-region smoothing.With this technique

noise is smoothed out and the edge-preserving smoothing can be effectively implemented.Two problems in anisotropic diffusion schemes have still not been solved.One is existence and uniqueness of the solution of the partial derivative diffusion equation;the other is reasonable estimate of gradient threshold in diffusion coefficients.The algorithm proposed in this paper is developed on the basis of minimal description length criterion and incorporated with one alternative method for setting gradient threshold based on the simple calculation of the p-norm.The improved model not only detects effectively the detailed edges in images

but also preserves the stability of anisotropic diffusion.Experimental results show that this method has superiority over the previous anisotropic diffusion models and is an ideal edge-preserving filtering method.