针对彩色红外图像和可见光图像融合问题，提出了利用YCbCr 和平稳小波变换（StationaryWavelet Transform，SWT）实现彩色图像融合的算法。该算法首先将源彩色红外图像转换为灰度图像，将彩色可见光图像从RGB 空间转换到YCbCr 空间获取Y、Cb、Cr 三分量，然后将红外灰度图像和Y分量利用SWT 融合。在融合过程中应用了一种绝对值阈值和区域能量相结合的融合准则，并利用彩色可见光图像Y 分量对融合结果进行区域线性变换获取彩色融合图像Y 分量。最后将Cb、Cr 和融合Y 分量从YCbCr 空间转换到RGB 空间获得彩色融合图像。实验结果表明，该算法可以综合YCbCr空间、SWT 和区域线性变换优点，较好地保持源图像场景信息、空间色彩信息和目标人物特性，突出源图像的纹理变化特性和边缘细节信息。

A method is proposed for the fusion of color-infrared and visible-light image based on the YCbCr space and SWT. The source color-infrared image is first converted into a grayscale image.To obtain the components of Y, Cb, and Cr, the visible-light image is converted from RGB space to YCbCr space. The infrared grayscale image and Y component are then fused by SWT to obtain a new Y component. The finalY component is obtained by local linear transformation of this Y component according to the region feature of the visible-light image’s Y component. Finally, the fused color image is obtained by the inverse YCbCr transform of Cb, Cr, and Y components. The simulation results demonstrate that the method can well preserve the scene information, color information, and target character. Moreover, the texture characteristics and edge information of the source image are maintained.