基于灰色关联的数字图像去噪研究

Noise Reduction of Digital Image Based on Gray Correlation Degree

在图像去噪过程中为了既能获得较好的去噪效果,又能更好地保护图像细节,运用灰色系统理论的灰关联度的思想提出了一种基于灰色关联的加权均值滤波器.尝试了将灰色理论中的灰色关联用于图像的均值去噪,对均值滤波器的权值加以优化.实验表明,该算法使图像处理效果比传统的均值滤波效果有所提高.

In order to get a better effect of noise reduction while keeping the image details in the image processing, the idea of gray correlation degree of gray system is applied to an optimizing mean filter based on gray correlation. It tries to apply the gray correlation of gray theory to the area of mean noise reduction of image, and optimizes the value of the mean filter. The experimental result shows that the method is effective than the conventional mean filter method since a better effect can be got.