Image fusion algorithm using dependencies among coefficients of wavelet-based Contourlet transform

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.