基于像素预判的各向异性扩散并行图像恢复

基于各向异性扩散去噪模型(P-M)的图像恢复思想，提出了一种新的利用像素预判断的图像恢复并行高效算法模型。该模型充分利用图像中每一个像素的预判断知识，设计COW工作站机群以结合实现并行算法。实验结果表明，该算法既能提高P-M算法的运行效率，又能获得与其相当的恢复质量。

Image restoration parallel algorithm using anisotropic diffusion equation based on pixels pre-judgment

Based on the idea of anisotropic diffusion equation,a new efficient parallel algorithm model,which used the concept of pixels pre-judgment to restore images,was proposed.This model made full use of the pre-judgment knowledge in the image,and designed a workstation of COW cluster to achieve the parallel algorithms.Experimental results show that the algorithm can improve the operation efficiency of P-M algorithm and obtain comparable restoration quality.