Image fusion algorithm based on adaptive lifting wavelet decomposition
一种基于提升小波分解图像融合方法

A novel image fusion algorithm(IFA) based on adaptive lifting wavelet transform(ALWT) was proposed.The adaptive lifting wavelet transform was mainly based on the correlation of local structure of the signal and the direction.It utilizes this information to construct adaptive wavelets decompositions via lifting scheme and reconstruction.Two registered images were decomposed by adaptive lifting wavelet transform,and then the coefficients were merged.The fusion image was gotten by coefficients reconstruction.In addition,the concept of fusion symmetry(FS) was introduced as a measure of evaluating performance of fusion algorithms.The smaller the FS the more symmetric was the fused image.Comparing the performance of entropy,correlation function and FS,the IFALWT is better than the methods of the average and the Symmlets wavelet.