YUV色彩空间下基于Curvelet变换的图像融合  

Image Fusion Based on Curvelet Transform in YUV Color Space

作　　者：王言 张豪文 WANG Yan;ZHANG Hao-wen(School of Electronic Information Engineering,Xi’an Technological University,Xi'an Shaanxi 710021)

机构地区：[1]西安工业大学电子信息工程学院,陕西西安710021

出　　处：《数字技术与应用》2018年第1期100-100,102,共2页Digital Technology & Application

摘　　要：提出一种在YUV色彩空间下基于二代Curvelet变换融合红外和可见光图像的算法。该算法将可见光图像转换到YUV色彩空间,然后提取其亮度分量Y和红外图像进行基于Curvelet变换的融合。对实验结果进行主客观分析,表明本算法较RGB色彩空间下的算法更好地保留了原图的色彩信息,较小波变换算法更多地保留了原图的有用信息,提高了融合图像的视觉效果。An algorithm for fusion of infrared and visible light images based on second generation Curvelet transform in YUV color space is proposed.The algorithm performs YUV transform on the visible light image,and extracts the luminance component Y to fuse with the infrared image based on the Curvelet transform.Subjective and objective analysis for experiment results show that the proposed algorithm better preserves the color information of the original image than the algorithm in the RGB color space,and preserves more useful information from the original image than the wavelet transform algorithm,and improves the visual effect of the fused image.

关 键 词：图像融合 YU V色彩空间 CURVELET变换 视觉效果 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]