In order to further impoove noisy image fusion effect, a novel fusion method for noise image based on shearlet transform and sparse representation is presented. The proposed scheme performs the four stages: ① Perform a shearlet transform decomposition of each source image and obtain their low-pass and high-pass coefficients; ② Obtain the fused shearlet transform coefficients in the low-pass bands with a sparse representation based fusion approach while in the high-pass bands by fusing the largest absolution values; ③ The hard thresholding is applied to the fusion shearlet transform coefficients. ④ The result image is obtained by the inverse shearlet transform. Experimental results show that the proposed algorithm for image fusion is very effective.