摘要
提出了一种基于小波变换的融合算法,算法针对小波变换后的低频分量和高频分量的不同特点,选用了不同的准则进行融合,通过小波逆变换得到融合图像。实验结果表明,这种算法充分考虑了小波变换的特点和人眼视觉特性,具有增强图像的空间细节能力,融合效果良好。
A new images fusion algorithm is proposed based on wavelet transform. Aiming at the coefficients of low frequency and high frequency, this algorithm choose a different rule to fuse the image, and obtain the fused image by wavelet inverse transform. The experimental results show that the algorithm not only consider fully the characteristics of wavelet transform and features of human vision system, but also improve spatial presentation.
出处
《红外技术》
CSCD
北大核心
2007年第8期455-458,共4页
Infrared Technology
基金
上海市教委重点项目(编号:06ZZ46)
关键词
图像融合
小波分解
视觉特性
梯度算法
阈值
image fusion
wavelet decomposition
visual characteristic
gradient algorithm
threshold
