Image fusion algorithm based on correlation among contourlet coefficients and PCA

Contourlet transform overcomes the weakness of wavelet in higher dimensions. According to the theory of Contourlet, Contourlet can represent the characteristics of image. When Contourlet is applied to image fusion, the characteristic of original images can be effectively extracted and more important information is preserved. The Contourlet coefficients are recognized as independent in traditional image fusion method based on Contourlet. However,the coefficients of Contourlet have strongly dependency among different region and different direction subbands,and using the characteristic of Contourlet coefficients can design fusion rule. Experimental results have evidenced the effectiveness of the proposed method and it can preserve and extract the characteristic more reliable, accuracy and effective.