The numerical results show that the new method takes the local feature of the image into good account and can accomplish both detail-preserving and noise-removing.

数值实验结果表明，新的扩散滤波方法可以更好地考虑图像的局部特性，从而完成细节保护和噪声消除的双重功能。

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Finally, based on the feature that human vision is sensitive to the local contrast, the image of linear degree of polarization was adopted to enhance the fused result.

最后，根据人眼对局部对比度敏感的特点，采用偏振度图像对融合结果进行对比度增强处理。

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However, due to the image noise, feature extraction algorithm, as well as local similarity of non-stereo matching points, there must be some false matching between the images.

然而，由于图像噪声、特征点提取算法以及非匹配点的局部相似性和遮挡的影响，相关匹配中必然存在较多的误匹配。

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