According to the redundant and complementary information among polarization parameter images, a polarization imagery fusion method based on human visual characteristic was proposed. Firstly, by fusion of the images of linear degree of polarization and angle of polarization using energy feature, the polarization feature image was obtained. And then, quincunx sampling lifting scheme wavelet transform was used to fuse the images of polarization feature and total intensity. Finally, based on the feature that human vision is sensitive to the local contrast, the image of linear degree of polarization was adopted to enhance the fused result. Experimental results have shown that the fused images not only make the polarization information of the scene prominent, but also contain abundant intensity information, as well as the contrast between the target and the background is remarkably improved.