Wavelet-based Contourlet transform(WBCT) is non-redundant, which has the ability of preserving more textures
and details when compared to Contourlet transform. When WBCT is applied to image fusion, the characteristic of original
images can be effectively extracted and more important information is preserved. The coefficients of WBCT have strongly
dependency among different regions and different direction subbands, and by using the characteristic of WBCT coefficient,
fusion rule can be designed. Experimental results show the effectiveness of the proposed method and it can preserve and
extract the characteristic more reliable, accuracy and effective.