特定目标或场景红外中、长波成像亮度差异较大，导致图像融合难以在灰度域取得较好效果，而彩色融合则可以有效地解决该问题。本文结合红外中、长波成像特点，对两种经典彩色融合算法进行了改进：通过引入相应的清晰度评价机制，实现对融合决策的优化。实验结果验证了改进算法的有效性。

The intensities of MWIR and LWIR imaging for a specific target or scene differ greatly from each other. Thus, it is difficult to achieve better results in gray fusion. However, color fusion can solve this problem effectively. This study improved two classical color fusion algorithms by combining the features of MWIR and LWIR imaging. The fusion decision was optimized by introducing the corresponding resolution evaluation mechanism. The experimental results verify the effectiveness of the improved algorithm.