An Image Denoising Method Based on Nonlinear Diffusion and Orientation Information Measure
基于方向信息测度的非线性扩散图像去噪方法

Comparing with the traditional image denoising methods,nonlinear diffusion has a very good performance in preserving the important characteristics of the image.Since the day the nonlinear diffusion method was proposed,a number of work has been done continuously to research and improve it.In this paper,a new nonlinear diffusion method is proposed in which the orientation information measure is used to control the diffusion coefficient.The orientation information measure can efficiently reflect the area character of the image.It also decreases the influence of noises without Gaussian convolution.The experimental results demonstrate that the proposed method works well for image denoising while edge and detail information is substantially preserved.