Abstract: An image fusion algorithm based on stationary wavelet transform (SWT) and second generation curvelet transform is proposed. High and low frequency components of the original images are respectively gotten by using SWT transform firstly. Then the low frequency components are fused by the image fusion method based on the second generation curvelet transform, and high frequency components are fused by the method based on the maximum absolute values. Finally, the inverse SWT transform is applied to getting the fused image. Experimental results show that the algorithm has the advantages of both the second generation curvelet transform and SWT transform. The subjective and the objective evaluations of the proposed algorithm are superior to individual second generation curvelet transform and individual SWT transform fusion algorithm alone, and also better than the fusion algorithm by combining discrete wavelet transform (DWT) and curvelet transform.