The proposed method analyses local image statistics and then matches the local histograms of two images to be fused by applying mean or mean variance matching normalization functions.

该方法分析了局部影像统计特性，应用均值或均值—方差匹配正态函数，对要融合的两幅影像局部直方图进行匹配。

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Then, the best threshold value is calculated basing on the gradient magnitude mean and the variance of the image.

再由图像的梯度幅值均值和方差计算出图像的最佳阈值。

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For the regions in image where gray value is high or change intensely, local mean value and variance is adopted to control enhancement coefficients.

针对图像中的高灰度区和灰度剧变区，应用图像局部均值和方差自适应调节增强系数。

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