基于震动滤波和各向异性扩散的图像增强算法

An algorithm for image enhancement based on shock filters and anisotropic diffusion

结合震动滤波和各向异性扩散,提出了一种新的滤波方法.该方法在震动滤波和各向异性扩散之间,对各向异性扩散加了一个自适应的权,使得图像不仅具有很好的平滑效果,而且增强了边缘,保留了尽可能多的细节部分.文中直接给出了滤波器的离散形式,使滤波过程易于实现,并缩短了滤波时间.

A new scheme is presented by the coupling between shock filters and anisotropic diffusion. The main idea is to add some sort of anisotropic diffusion term with an adaptive weight between the shock and diffusion processes. The method can not only well restrain noise but also enhance edge and keep much more details of an image. The filter is directly given in the form of discretization so that it is easy to implement and the processing time is greatly saved.