摘要
研究了基于小波变换的图像融合算法,并对基于小波变换的图像融合算法进行了改进。低频系数选用加权平均法进行融合,高频部分先提取出高频子图像的边缘,然后在边缘区域用方差取大的方法进行融合。实验结果表明,该方法在主观的视觉评价和信息熵、标准差、峰值信噪比和空间频率等客观评价准则方面,都是可行的。
Image fusion algorithm based on wavelet transform is researched, and the algorithm is improved.Weighted average method is used to low-frequency parameter fusion, and high-frequency sub-image edge is extract-ed from high-frequency part firstly, and then variance maximum method is used to edge region fusion. Experimentalresults show that the method is feasible on subjective visual evaluation or objective visual evaluation such as infor-mation entropy, standard deviation, peak signal to noise ratio and spatial frequency.
出处
《光电技术应用》
2016年第2期51-53,75,共4页
Electro-Optic Technology Application
关键词
图像融合
小波变换
局部方差
image fusion
wavelet transform
regional variance
