Image fusion based on principal component analysis in dual-tree complex wavelet transform domain

This paper propose an new image fusion method based on principal component analysis and dual-tree complex wavelet transform(DWCWT), which uses DTCWT to decompose the source images in a multi-scale and multi-direction way and then fuse the related information together according some fusion rules. This approach combines principal component analysis based image fusion rule and dual-tree complex wavelet transform, we named the new method combining the dual-tree complex wavelet transform and PCA as DTCWT-PCA image fusion algorithm. The experimental results demonstrate that our method is effective and competitive.