本文重点研究像素级多传感器图像融合算法，包括简单图像融合方法、多分辨率图像融合算法和伪彩色图像融合算法。

This thesis focused on the algorithms of the pixel-level fusion process, including simple image fusion methods, multi-resolution image fusion methods and false color image fusion methods.

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统计分析结果显示，“感知质量”与“熵”的相关性系数只有0.41，说明熵统计方法在彩色夜视融合图像质量评价上存在困难。

Experimental result shows that the correlation coefficient between perceptual quality and entropy is only 0.41, the entropy method is difficult to assess color fusion images for night vision.

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本文针对复杂背景下的彩色图像，提出了一种包含肤色的多特征信息优化融合的人脸检测算法。

In this paper, we present a multi-feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background.

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