In order to highlight the fusion result and dig out more details, a fusion method of infrared image and visible image based on the target extraction and guidance filtering enhancement is proposed. Firstly, the two-dimensional Tsallis entropy and graph-based visual saliency model are used to extract the target region of infrared image. Then the visible image and the infrared image are decomposed by non-subsampled shearlet transform (NSST), respectively. The low-frequency components of the visible image and the infrared image are enhanced with guided filtering, respectively. The low-frequency component of the fused image is obtained from the enhanced low-frequency component of the infrared image and the visible image based on the fusion rule of target extraction, and the high-frequency components of the fused image are gained according to the maximization criterion of the directional sub-band information sum. Finally, the fused image is obtained by inverse NSST transform. A large number of experimental results demonstrate that the proposed method can improve the spatial resolution of the fused image, effectively highlight the target, and is superior to the method based on the Laplacian pyramid transform, the method based on wavelet transform, the method based on stationary wavelet transform, the method based on non-subsampled contourlet transform (NSCT), the method based on target extraction and NSCT in the quantitative evaluation indexes such as information entropy and average gradient.