一种新的基于振动滤波和各向异性扩散的图像增强和去噪算法*

结合振动滤波和各向异性扩散，提出了一种新的图像增强和去噪方法。该方法将改进的振动滤波项引入增强和去噪方程，使其根据图像结构信息产生相应变化幅度，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，同时很大程度上缩短了计算时间，并给出了方程的离散形式。通过实验表明，该方法能达到较理想的增强和去噪效果。

New algorithm for image enhancement and denoising based on shock filters and anisotropic diffusion

This paper presented a new scheme by the coupling between shock filters and anisotropic diffusion. It proposed a new improved shock filters term, which produced adaptive magnitude from image structural information, for the image enhancement and denoising. The method could not only well restrain noise but also enhance edge and keep much more details of an image, and the computed time of this algorithm was greatly shortened. It gave the form of discretization directly.Experimental results show that the effectiveness for image enhancement and denoising with the method is better.