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An Efficient Color Transfer Algorithm for Recoloring Multiband Night Vision Imagery

机译:一种高效的多波段夜视图像重新着色的颜色转移算法

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A color transfer method is presented to give fused multiband nighttime imagery a natural daytime color appearance in a simple and efficient way. Instead of using the traditional nonlinear lαβ space, the proposed method transfers the color distribution of the target image (daylight color image) to the source image (fused multiband nighttime imagery) in the linear YC_BC_R color space. The YC_BC_R transformation is simpler and more suitable for image fusion compared to the lαβ conversion. The YC_BC_R transformation can be extended into a general formalism. And the paper mathematically proves that, for color transfer, using color spaces conforming to this general YC_BC_R space framework can produce same recoloring results as using the YC_BC_R space. Experimental results demonstrate that the YC_BC_R based color transfer method works surprisingly well for transferring natural color characteristics of daylight color images to false color fused multiband nighttime imagery, and moreover, can also be successfully applied to recoloring a variety of color images.
机译:提出了一种颜色转移方法,以一种简单有效的方式为融合的多波段夜间图像提供自然的白天颜色外观。代替使用传统的非线性lαβ空间,所提出的方法将目标图像(日光彩色图像)的颜色分布转移到线性YC_BC_R颜色空间中的源图像(融合的多波段夜间图像)。与lαβ转换相比,YC_BC_R转换更简单并且更适合图像融合。 YC_BC_R转换可以扩展为一般形式。并且该论文在数学上证明,对于颜色转移,使用符合该常规YC_BC_R空间框架的颜色空间可以产生与使用YC_BC_R空间相同的重新着色结果。实验结果表明,基于YC_BC_R的颜色转移方法将日光彩色图像的自然颜色特征转换为伪彩色融合的多波段夜间图像效果很好,而且还可以成功地用于对各种彩色图像进行重新着色。

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