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基于HSV变换与小波变换的遥感图像融合
Image fusion based on HSV color space model and wavelet transform
【摘要】 在IHS变换与小波变换相结合的图像融合法的基础上提出了一种近似的图像融合方法,即基于HSV色彩空间模型与小波变换的图像融合法。传统的IHS变换融合法会产生较大的光谱失真和退化现象,而基于HSV色彩空间变换的融合法则较好的保留了多光谱信息,通过将HSV色彩模型与小波变换相结合,使得融合图像无论在细节纹理还是多光谱信息上都得到了很好的保持。通过Matlab平台实验对比表明,新算法具有较好的融合效果,且优于IHS与小波变换融合法。
【Abstract】 A new image fusion method is discussed according to the method which is based on IHS transform and wavelet transform. The new method based on HSV color space model and wavelet transform provides a better fusion result. The results of traditional image fusion method which is based on IHS transform always have serious spectral distortion. But HSV transform can alleviate the distortion. The experimental results show that the new approach is better than image fusion method based on IHS transform and wavelet transform.
【Key words】 image fusion; wavelet transform; color space; Mallat algorithm; remote sensing;
- 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2007年23期
- 【分类号】TP751
- 【被引频次】46
- 【下载频次】644