为了在抑制噪声时尽可能保留图像边缘信息,提出一种自适应各向异性高斯滤波器设计方法.该方法由独立强度传播(IDS)模型决定滤波器的长轴尺度,由像素的邻域平滑度决定长短轴的比例,然后根据该处的灰度梯度方向自适应决定各向异性滤波器的长轴方向.仿真实验表明,提出的自适应各向异性滤波器具有很强的噪声抑制和边缘保持能力.

To achieve much better noise suppression with minimum edge blurring, an adaptive anisotropic gaussian filtering algorithm was proposed. In this algorthm, the scale of filter’s long axes was determined by Intensity-Dependent-Spread model in each pixel, and the ratio between filter’s long axes and short axes was determined by the degree of local smoothness, then the orientation of the filter’s long axes was also calculated according to the gray gradient orientation in the position. The experimental result shows that the algorithm has good capability in noise suppression and edge-preserving.