摘要
针对可见光和红外热像仪各自的成像特性,提出了一种新的基于小波变换的图像融合算法,将配准完成的电视图像和红外图像分别进行小波分解,得到低频图像和高频图像。采用不同的规则分别对低频图像和高频图像进行融合,并进行小波逆变换,得到最终的融合图像。最后采用实验验证了算法的有效性,结果表明,该算法明显优于传统小波变换算法。
According to the imaging characteristics of visible and infrared imager respectively,this paper proposed anew image fusion algorithm based on Wavelet Transform.The TV image and infrared image completed respectivelyusing wavelet decomposition,get the low-frequency image and high-frequency image.Using different rules of lowfrequencyimage and high-frequency image fusion.Finally,the inverse wavelet transform,to obtain the final fusion image.Through the experiments verified the effectiveness of the algorithm,the results showed that the algorithm is superior to the traditional wavelet transform algorithm.
作者
岳修正
陈文博
王双
Yue Xiuzheng;Chen Wenbo;Wang Shuang(The 27th Research Institute of China Electronics Technology Group Corporation,Zhengzhou Henan 450047)
出处
《河南科技》
2017年第11期54-56,共3页
Henan Science and Technology
关键词
图像融合
小波变换
信息熵
image fusion
wavelet transform
entropy of information
