基于二维提升小波变换的图像融合

Image Fusion Based on the Lifting 2-D Wavelet Transform

将图像进行提升小波变换，分别对高低频采用不同的融合方法，得到融合后图像。并引入信息熵、相关系数和清晰度等性能指标对融合后的图像进行分析。实验结果表明，此提升方法在融合图像质量上优于传统小波变换。

Two registered images were decomposed by lifting wavelet transform, the high-frequency and low-frequency signals were adopted different fusion method. The fusion image was gained by reconstruction. Comparing the performance of entropy, correlation coefficient and image definition, this lifting transform is better than the traditional wavelet transform.