摘要
讨论了色彩空间模型分别与小波变换相结合的图像融合方法:基于RGB色彩空间模型与小波变换的图像融合法和基于IHS色彩空间模型与小波变换的图像融合法,并且在此基础上提出了一种基于HSV色彩空间模型与小波变换的图像融合法.经实验分析和对比,基于HSV色彩空间模型与小波变换的图像融合法除了能较好地保持细节纹理信息外,在光谱信息的保持方面要明显优于其他两种方法.
Three image fusion methods based on color space model and wavelet transform are discussed. One is based on RGB color space model and wavelet transform, another is based on IHS color space model and wavelet transform. A new method based on HSV color space model and wavelet transform is proposed in this paper. The experimental results show that the new method based on HSV color space model and wavelet transform is better than the other two methods.
出处
《桂林工学院学报》
北大核心
2007年第3期417-421,共5页
Journal of Guilin University of Technology
基金
科技部社会公益研究专项基金资助项目(国科发财字[2003]426)
关键词
图像融合
小波变换
色彩空间
遥感
image fusion
wavelet transform
color space
remote sensing
