Abstract: The characteristics of the Curvelet transform are studied，and a new algorithm to fuse multi-sensor images based on the Curvelet transform is proposed.Firstly，the source images are decomposed using Curvelet transform，then the low frequency and high frequency coefficients are fused with different fusion regulars based on Area Standard Deviation and Area Energy.Finally the fused coefficients are reconstructed to obtain fusion result．The fusion image obtained is evaluated in subjective and objective factors．Compared with the traditional algorithm and wavelet algorithm，experimental results show that this method yields fusion image with better visual quality and better objective indexes in Root Mean Square Error（RMSE），Difference Coefficient（DC），Peak Signal-to-Noise Ratio（PSNR）.