基于HSV色彩空间的红外与可见光图像融合方法  

Methods for Infrared-Visible Light Image Fusion Based on HSV Color Space

作　　者：胡锦昊 王明昊 夏天扬 王悦行 杜海静 徐传刚[2] HU Jinhao;WANG Minghao;XIA Tianyang;WANG Yuexing;DU Haijing;XU Chuangang(College of Artificial Intelligence,Nankai University,Tianjin 300350,China;Tianjin Jinhang Institute of Technical Physics,Tianjin 300308,China)

机构地区：[1]南开大学人工智能学院,天津300350 [2]天津津航技术物理研究所,天津300308

出　　处：《空天防御》2021年第4期87-94,112,共9页Air & Space Defense

摘　　要：为了增强双光融合的视觉效果,提高人眼对融合图像的辨识度,提出了基于色调-饱和度-明度(huesaturation-value,HSV)色彩空间的红外-可见光双光图像融合方法。首先,根据HSV空间各通道信息与色彩生理感知的关系,将红外图像的原始图像和伪彩色编码图像与可见光图像的色调、饱和度和亮度通道进行映射;然后通过亮度自适应方法建立各通道的融合数学模型,得到融合图像的HSV信息;最后再通过色彩模型变换方法得到融合图像的RGB彩色图像。结果表明,本文提出的方法在实现红外-可见光双光图像融合的同时,能够保留红外和可见光图像的关键信息,从而达到双光信息互补的目的。In order to enhance the visual effect of dual light fusion and improve the recognition of fused images by human eyes, this paper proposes infrared-visible light image fusion methods based on hue-saturation-value(HSV) color system. According to the relationship between the information of each channel of HSV system and color perception physiology, the gray-scale infrared image and pseudo-color coded infrared image are mapped with the visible light image in hue, saturation and value channel. The HSV information of the fused image is obtained by establishing the fusion mathematical model of each channel through brightness adaptation. Finally, the RGB computer color display image of the fused image is obtained by color model transformation. The results show that methods proposed in this paper can retain the key information in infrared and visible light images when realizing the fusion of infrared and visible light, and complete the information complementation.

关 键 词：HSV颜色空间 双光融合 亮度自适应 灰度可见光-红外图像 伪彩色编码 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]