Traditional polarization image fusion is notorious for poor visual effects and insufficient retention of texture details. To address these problems, a new method of polarization image fusion using wavelet-based contourlet transform(WBCT) is proposed. Initially, the polarization intensity image and polarization degree image are obtained by the Stokes method for the 4 pre-processed polarization angle images. After decomposition by WBCT transform, the low-frequency coefficient is fused using the PCA transform method, and the high-frequency coefficient is fused using the regional characteristic energy fusion rule. Finally, the fused high- and low-frequency coefficients are converted by WBCT inverse transform to obtain a final fusion image with polarization characteristics. Results indicate that the image observation is comfortable in subjective vision. Moreover, comparison of the selected methods reveals an improvement in the evaluation data of the fused images in terms of objective evaluation indices.