彩色夜视技术是夜视领域的关键技术之一。
Color night vision technology is one of the key technologies in night vision field.
本文设计了一种新型双通道彩色夜视系统方案。
In this dissertation a new double-channel color night vision system project is designed.
提出了一种基于图像增强和颜色迁移理论的彩色夜视融合方法。
The paper presented a simple and fast color fusion method for night vision based on image enhancement and color transfer.
针对彩色夜视融合图像，提出一种目标探测性的客观评价方法。
An evaluation for objectively assessing the target detectability in night vision color fusion images is proposed.
色彩传递是近年来兴起的一种图像色彩处理方法，在自然彩色夜视技术中得到了广泛的应用。
After the color transferring, the color appearance of result image will get close to be natural, which is conducive to the target identification.
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.
在夜视图像融合技术方面，提出了微光图像和红外图像假彩色融合的改进算法，并探索研究出一系列衍生算法。
In the technique of fusion on night vision images, reformative algorithms of false color fusion on LLL and IR images and a series of derivative algorithms are put forward.
而最初，夜视图像彩色化对源图的选择过程是根据夜视图像的特点依靠人工选择完成的，耗时颇多且难以准确，制约了系统的自动化程度。
Initially, the selecting of source image of the color night vision system was done by manual work which took quite a long time with poor accuracy and restricted the automation efficiency.
而最初，夜视图像彩色化对源图的选择过程是根据夜视图像的特点依靠人工选择完成的，耗时颇多且难以准确，制约了系统的自动化程度。
Initially, the selecting of source image of the color night vision system was done by manual work which took quite a long time with poor accuracy and restricted the automation efficiency.
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