An optimal algorithm of multisensor image fusion based on wavelet transform

A wavelet-based optimal algorithm for image transform is widely used for image fusion. Although the fusion is proposed to solve the problem of keeping spatial and spectrum information at the same time. Multispectral image of low frequency and high resolution image of high frequency are enhanced through wavelet transform respectively beforehand. Then, they are fused. The proposed method optimizes the traditional wavelet transform fusion techniques. The experimental results of merging images data of different SAR and TM of the same object are presented. It is shown that this approach reduced blocking effects while held actively spectrum information.