Image fusion by means of A trous discrete wavelet decomposition

A new algorithm is developed to merge a high-resolution panchromatic image and a low-resolution multispectral image based on the combination of multiresolution wavelet decomposition, evolutionary strategy and the IHS transform. The high-resolution panchromatic image is firstly decomposed to the wavelet planes, then the regions are partitioned by evolutionary strategy in terms of difference of edge information from wavelet planes and the merging algorithm is done by adding edge influence factor in different region. The proposed method is compared with the IHS and the MWT methods. The results of the comparison show the proposed merger performing the best in combining and preserving spectral-spatial information for the test images.