The algorithm of image fusion for infrared polarization based on Contourlet transform and Teager operator

Ruidong Guo; Jingjing Zhang; Feng Wang; Hongwu Yuan; Lina Xun; Qing Yan; Wen Dong; Qi Hong

doi:10.1117/12.2208243

5 November 2015 The algorithm of image fusion for infrared polarization based on Contourlet transform and Teager operator

Ruidong Guo, Jingjing Zhang, Feng Wang, Hongwu Yuan, Lina Xun, Qing Yan, Wen Dong, Qi Hong

Author Affiliations +

Proceedings Volume 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015; 97950A (2015) https://doi.org/10.1117/12.2208243
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held June-July 2015, 2015, Hefei, Suzhou, and Harbin, China

Abstract

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.

Citation Download Citation

Ruidong Guo, Jingjing Zhang, Feng Wang, Hongwu Yuan, Lina Xun, Qing Yan, Wen Dong, and Qi Hong "The algorithm of image fusion for infrared polarization based on Contourlet transform and Teager operator", Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97950A (5 November 2015); https://doi.org/10.1117/12.2208243

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