Muti-focus Image Fusion Using Wavelet Based Contourlet Transform and Region

Utilizing the contourletpsilas advantages of multiscale, localization, directionality and anisotropy, a new method for multi-focus image fusion using wavelet based contourlet transform and region was proposed. In the contourlet transform, the Laplacian pyramid transform was replaced by the wavelet transform to obtain non-redundant wavelet-based contourlet transform. The source image is decomposed into low-frequency image and high-frequency images by wavelet based contourlet. The fusion rule of regional variance is adopted in low-frequency image, and the fusion rule of local energy are adopted in high-frequents subbands. Finally the fused image is obtained through inverse transform. Experimental results show that the proposed method has better subjective visual effect. Compared to traditional gradient pyramid algorithm and wavelet fusion algorithm, the proposed algorithm in paper has smallest mean square error.