分析了红外偏振与红外光强的成像特性差异, 提出了基于局部能量的支持度变换融合方法。实验结果表明, 融合图像综合了两幅图像的冗余信息, 使图像更清晰,信息更加丰富。融合图像同原红外偏振和光强图像相比, 局部标准偏差分别提高了13.67%和11.51%；局部熵分别提高了16.46%和1.95%；平均梯度分别提高了15.41%和44.05%。证明了该融合方法的有效性。

The difference of imaging characteristics between infrared polarization and infrared intensity are studied. A fusion method of image is presented based on both support value transform (SVT) and local energy. The fusion result contains redundant information of two images, the image is more clear and the information.is more detailed .Compared with the infrared polarization image and intensity image, the fusion image has the local standard deviation increased 13.67% and 11.51%, local entropy increased 16.46% and1.95% ,and average gradient increased 15.41% and 44.05%. The validity of fusion method proposed is proved.