泊松化图像复原的交替最小化算法

摘要

为了快速地去除图像中的泊松噪声，本文在传统的交替方向算法基础上，结合松弛算法提出了一个改进的快速交替最小化算法。与经典的数值算法相比，数值试验表明提出的新算法不但能有效地实现泊松化图像复原，还能大幅度地提高数值计算的速率，并显著地减少电脑的 CPU 运行时间。%To quickly remove Poisson noise,based on the traditional alternating direction method,this paper combined the relaxation method and proposed an improved alternating minimization algorithm.Compared with the classical numerical al-gorithm,numerical simulations demonstrate that the proposed strategy not only removes Poisson noise efficiently,but improves the speed of calculation substantially and reduces the computer CPU time noticeably.