Panchromatic and Multi-spectral Image Fusion Using WPT

In order to merge information from multi-sensor adequately, this paper analyzed the typical remote sensing image fusion methods. It proposed a new fusion method based on window local deviation using WPT (wavelet packet transform). WPT decomposed an image into low frequency hand and high frequency hand on different levels; local window and local sub-window statistic in the wavelet domain were used to further classify the wavelet coefficients into the edge and non-edge coefficients. In the fusion processing, the fused approximate coefficients were obtained by average method and the fused detailed coefficients were obtained by different area-based feature selection method and the greatest multi-window local deviation of the corresponding enter image wavelet packet coefficients. Experimental results show that the proposed method can retain the subtle detail of the image and can achieve an excellent effect. The new image fusion method provides a performance better than other methods.