根据偏振参量图像之间存在的信息冗余性和互补性，提出了一种基于人眼视觉特性的偏振图像融合方法。该方法首先对线偏振度图像和偏振角图像进行基于能量特征的融合，得到偏振特征图像；然后，利用五株采样提升小波变换实现偏振特征图像和合成强度图像的融合；最后，根据人眼对局部对比度敏感的特点，采用偏振度图像对融合结果进行对比度增强处理。实验结果表明，融合后的图像不仅突出了场景的偏振信息，而且包含了丰富的强度信息，目标与背景的对比度也得到了显著增强。

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.