基于提升小波变换的红外图像融合算法研究

介绍了提升小波变换，提出了基于提升小波变换的图像融合方法，算法针对提升小波变换后的低频分量和高频分量的不同特点，选用了不同的融合准则进行融合，然后通过提升小波逆变换得到融合图像。通过分析可见光与红外图像的融合结果并与其他融合方法进行比较，实验结果表明，该算法使得融合后图像内容清晰，具有增强图像的空间细节能力，取得了较好的融合效果。

An Infrared Image Fusion Algorithm Based on Lifting Wavelet Transform

This paper introduces the lifting wavelet transform and proposes a new image fusion algorithm based on lifting wavelet transform.Aiming at the different characteristic of the coefficients of low frequency and high frequency after lifting wavelet transform,this algorithm chooses a different fusion rule to fuse the image,and obtains the fusion image by inverse lifting wavelet transform.By analyzing the fusion image with visible and infrared image and comparing the other fusion algorithms,the experimental result shows that this algorithm can clear the fusion image and improve spatial presentation.