总结了近15年来的多传感器图像染色技术研究成果,给出了染色算法的一般模型。在此基础上,将图像融合技术与颜色传递技术结合,设计了基于YCbCr颜色空间的夜视微光与红外图像染色算法。使用互调制快速融合充分提取源图像的空间信息,将得到的融合图像指派给Y分量;借鉴Toet提取图像共同分量的思路,构造Cb、Cr分量;最后应用颜色传递技术,获得了细节丰富、目标背景对比度高,符合场景自然颜色分布的彩色图像。因使用了互调制快速融合方法并直接构造颜色分量,染色过程效率高且参数自适应,可满足实时系统应用需求。

In this paper,we review the past 15 years of research in the field of night vision multi-sensor image coloration (render night vision image in color) and reveal the general coloration model. On this basis,a new coloration method using fast multi-modulation fusion (FMMF) and color transfer is designed for low-light and infrared image pairs. The coloration process is based on YCbCr color space. First,the fused image uses a fast multi-modulation fusion to merge the source images information to be assigned to the Y channel;then,the Cb and Cr channel is combined using Toet’s method,which extracts the common component from the source images. Finally,the false-color image is obtained by using color transfer technology to the prior pseudo-color YCbCr image. Experiments show that the result of our method is information that is more salient,has a higher color contrast,and a more natural color appearance than others. Due to the use of fast multi-modulation fusion,the coloration process is efficient and the parameters are adaptive,and our method meets the real-time applications.