摘要
该文用基于梯度选取的小波变换实现SAR与可见光图像的融合,在不同频率域的小波系数选取规则上引入区域平均梯度和全局梯度,对小波系数不是简单丢弃,而是加权叠加。给出了图像融合结果的定性评价,并用熵等评价参数进行了定量评价,实验取得了较好的结果。
In this paper,the fusion of SAR and optical images has been realized using wavelet transform based on gradient selective rule,the computation of local average gradient and global gradient is introduced in the process of selecting wavelet coefficient in different frequency band,the wavelet coefficient is not simply discarded but added with different weights.The qualitative assessment of the result of fusion is presented and the quantitative assessment is also presented using the evaluation parameter of entropy and so on,the experimental result is encouraging.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第12期76-78,共3页
Computer Engineering and Applications
关键词
小波变换
图像融合
梯度
熵
wavelet transform,image fusion,gradient,entropy
