In addition, with the use of the parameters such as entropy, average of image, root mean square error, peak signal-to-noise ratio, the performance of the fusion scheme is evaluated and analyzed.
此外，利用熵、图像均值、均方根误差、峰值信噪比等参量对该融合方法的融合性能进行评价与分析。
The stopping time is chosen by minimal mean square error, signal-to-noise ratio and minimal correlation coefficient based on the information of the original (ideal) images and noises.
根据原始图像与噪声的相关信息，应用最小均方误差、信噪比与相关系数最小原则确定微分停止时间。
It is demonstrated by simulation results that the proposed algorithm has better performance in terms of lower mean squared error and higher output signal to interference plus noise ratio.
仿真结果表明：在相同条件下，采用该算法得到的输出信噪比有明显的改善，输出的均方误差也大大减小。
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