摘要
在基于小波变换图像融合法的基础上提出了基于小波系数叠加的图像融合法。该方法首先将多光谱图像进行HSV(Hue,Saturation,Value)色彩空间变换,将V分量进行归一化得到V′,将V分量(取值范围为[0,255])和归一化后的V′(取值范围为[0,1])同全色图像一同进行小波分解,然后采用小波系数叠加策略进行融合,最后进行小波反变换和HSV反变换得到新的融合图像。实验结果证明该方法具有较好的融合效果。
A new image fusion method which is based on HSV color space and addition of wavelet coefficients is proposed.The process is as follows：converting the multi-spectral image into HSV（Hue,Saturation,Value） color space by HSV transform;formalizing the V component into two types,one is in the range of 0,1 the other is in the range of 0,255,then decomposing these two different V components and panchromatic image by wavelet transform;merging the wavelet coefficients by means of addition strategy after decomposition;finally,obtaining the fused image by wavelet reconstruction and inverse HSV transform.Experimental results show that the new method is better than generic wavelet-based fusion rule.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第3期217-219,共3页
Computer Engineering and Applications
基金
国家重点基础研究发展规划(973)(the National Grand Fundamental Research 973 Program of China under Grant No.2001CD409809)
国科发财字【2003】426 号
关键词
图像融合
HSV
小波变换
遥感
image fusion
Hue,Saturation,Value（HSV）
wavelet transform
remote sensing
