Self-adaptive image fusion based on multi-resolution decomposition using wavelet packet analysis

A self-adaptive image fusion method using multi-resolution analysis is proposed, in which multi-spectral (TM) and SAR images are fused. Firstly, we convert TM images from RGB to IHS colour space. Then, the I component in TM images are fused with SAR images using quadtree decomposition of images by wavelet packet analysis. The final results are obtained through inverse wavelet and IHS transforms, respectively. The highlight of our method is regional edge intensity (REI) based self-adaptive fusion. Experimental results demonstrate that better performance can be obtained from our method in improving definitions and correlations compared with original TM and SAR images.