基于CPCT的彩色图像融合算法  

Color Image Fusion Algorithm Based On CPCT

作　　者：严敏[1] 杨智雄[1] 余春超 袁小春[1] 粟宇路[1] 王鑫[1] 

机构地区：[1]昆明物理研究所,云南昆明650223

出　　处：《红外技术》2015年第7期566-573,共8页Infrared Technology

摘　　要：彩色融合图像在场景深度感知、目标探测识别、减少判断时间等方面优于灰度融合图像,重点研究了红外与可见光彩色图像融合算法。针对经典的自然感图像融合算法中计算复杂度高、缺乏颜色恒常性问题,提出基于YUV颜色空间恒参数颜色传递(CPCT)图像融合算法,并通过栅栏、山丘、森林和城镇四组实验验证了本文算法在颜色恒常性和算法实时性上有较大改善。Color fusion images are better than gray fusion images in scene perception, reducing estimate time, target detection and recognition. Hence, the thesis mainly studied the infrared and visible color image fusion algorithms. To solve the problem of complicated computation and no color constancy in the classical color transfer based image fusion method, a color image fusion method is proposed that is based on constant parameters color transfer in YUV color space. The experimental results show that this method can greatly improve the real-time performance with color constancy.

关 键 词：彩色图像融合 CPCT 红外图像 可见光图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]