To resolve the low recognition ratio problem of the target captured in the low contrast environment, a polarization information fusion method based on wavelet lifting algorithm is proposed. The target is detected by the use of polarization technology, and the wavelet lifting algorithm with the advantage of less computation and higher processing speed is applied to decompose the polarization angle and degree of the polarization into high and low parts, then these two parts are fused with different rules to make the target edge contour distinguish from the low contrast background with full and clear details, which is more suitable for human eyes to recognize the target. A large number of target recognition experiments in low contrast environment and fusion results evaluation standards show that the proposed algorithm can effectively enhance the target recognition ratio, and its feasibility in low contrast environment is verified.