本文提出了一种简单实用的最优停止准则，该准则确定了一个标准，使得平滑后的图像与噪声的相关性最小时停止迭代。
This criterion includes a rule for selecting optimal stopping time so that the correlation of filtered image with noise is minimized.
该准则能有效抑制图像中高频信息的存在对相关系数计算的影响，获得准确的最优停止时间，并无需预先知道图像中的噪声水平。
This criterion can suppress the affection of minutiae to correlation coefficient and get a more accurate stopping time without knowing the noise variance.
仿真计算结果表明采用该准则所得的停止时间非常接近于基于最优峰值信噪比所得的停止时间，且广泛适用于各种噪声水平。
Simulation results show that, the stopping time determined by this criterion is near-optimal according to best PSNR, and the new criterion adapts to a wide range of noise levels.
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