Advantages and disadvantages of some existing image diffusion denoising models are analyzed and summarized in this paper. In theory

the physical meaning of the tensor-typed diffusion model is interpreted. A new diffusivity is put forward through the analysis of local diffusion behavior of the P-M diffusion model

developing a new improved tensor-typed diffusion model is presented. It is not easy to compare the effects of various denoising models for the subjective and objective aspects

because this needs a coupling of parameters and numerical discretization methods of every model. A unified numerical implementation algorithm of diffusion models is be given

which can be employed to compare the denoising effects of every model. The results of the numerical simulation experiments confirm that

the improved diffusion model can effectively remove image noise

and simultaneously protect edge

corners

and texture as well. Furthermore

the denoised image provides a better visual impression.