This paper puts forward a infrared polarization image fusion algorithm by using Contourlet transform and 2-D Teager operator. First of all, based on Contourlet transform , infrared polarization image has been decomposed into low frequency and high frequency . Using Teager operator to process the high frequency sub-bands, and then select by different regional characteristics based on maximum contrast ratio. As for the low frequency sub-bands, judged by energy, selects the weighted weights to fuse the image . At last, we get the experimental results and our analysis. The results of the experiment show that compared with the traditional, the algorithm in this paper can give better characterization of polarization remote sensing image edge and texture information, has a higher resolution, and also improves the visual effect of the polarized remote sensing image.
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