一种基于曲率驱动的四阶PDE图像去噪模型

A image de-nosing method based on CDD and forth order partial differential equation

噪声的存在降低了图像中信息的有效性,图像降噪显得尤为重要.针对曲率驱动模型和四阶偏微分方程去噪方法的各自特性,提出了一种新的混合去噪模型,把CDD和四阶PDE通过某一权函数进行组合,很好地保持了二者的优势,在有效去除图像噪声的同时,很好地保留了图像的纹理细节和轮廓信息.

The existence of noise can reduce the effectiveness of reduction is particularly important. In this paper, based on the the image information, so image noise respective characteristics of denoising method using curvature driven model and fourth order partial differential equation,we propose a new hybrid de-noise model which combines the CDD and fourth order PDE via a weight function, the method welI retains the advantages of both methods. While it effectively remove the noise of the image,it well retained texture details and contour information of the image. Its de-noising results have greatly improved compared with the classic filtering.