基于方向信息测度的非线性扩散图像去噪方法

An Image Denoising Method Based on Nonlinear Diffusion and Orientation Information Measure

在研究非线性扩散方法图像去噪的基础上,针对非线性系数扩散问题,提出了应用图像方向信息控制扩散系数的非线性扩散方法,该方法利用方向信息测度来表征图像的区域性质,不仅降低了噪声的干扰,而且克服了其他方法必须先进行高斯卷积的影响,并有效控制了各点的扩散行为。实验结果证明该方法是可行的,该方法在图像去噪的同时保持了图像的重要特征,取得比较理想的效果。

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.