Volume 43 Issue 1
Jan.  2014
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Zhou Qiang, Zhao Jufeng, Feng Huajun, Xu Zhihai, Li Qi, Chen Yueting. Infrared image enhancement using polarization imaging[J]. Infrared and Laser Engineering, 2014, 43(1): 39-47.
Citation: Zhou Qiang, Zhao Jufeng, Feng Huajun, Xu Zhihai, Li Qi, Chen Yueting. Infrared image enhancement using polarization imaging[J]. Infrared and Laser Engineering, 2014, 43(1): 39-47.

Infrared image enhancement using polarization imaging

  • Received Date: 2013-05-11
  • Rev Recd Date: 2013-06-03
  • Publish Date: 2014-01-25
  • Since the low contrast and lack of details in infrared imagery, a polarization imaging based enhancement method was proposed. Fusing the infrared polarization image and intensity image, this infrared image enhancement approach made the target areas prominent. Firstly, the polarization imaging theory was analyzed, and then polarization images were obtained using the polarization imaging technology. Secondly, the information of polarization images could be well acquired with the help of Shearlets based multi-scale image decomposition. Finally, the enhanced fused result was got with region feature matching. To test the effectiveness of this method, experimental device was built to get real images. Compared with original image, both the subjective and objective evaluation results indicate that the enhanced images have much more image details and polarization information, which is useful for target detection and recognition.
  • [1] Tang Liangrui, Zhang Yue, Li Shourong. A restraining crosstalk method of infrared image based on fuzzy theory[J]. Infrared Technology, 2006, 28(5): 283-286. (in Chinese) 唐良瑞, 张悦, 李守荣. 基于模糊理论的红外图像像元串 音抑制算法[J]. 红外技术, 2006, 28(5): 283-286.
    [2]
    [3] Song Yanfeng, Shao Xiaopeng, Xu Jun. New enhancement algorithm for infrared image based on double plateaus histogram[J]. Infrared and Laser Engineering, 2008, 37(2): 308-311. (in Chinese) 宋岩峰, 邵晓鹏, 徐军. 基于双平台直方图的红外图像增 强算法[J]. 红外与激光工程, 2008, 37(2): 308-311.
    [4]
    [5]
    [6] Yu Tianhe, Dai Jingmin. New technology of infrared image contrast enhancement based on human visual propertie [J]. Infrared and Laser Engineering, 2008, 37(6): 951-954. (in Chinese) 于天河, 戴景民. 结合人眼视觉特性的红外图像增强新技 术[J]. 红外与激光工程, 2008, 37(6): 951-954.
    [7] Yu Tianhe, Dai Jingmin. Multifractal theory based infrared image enhancement technology [J]. Infrared and Laser Engineering, 2010, 39(1): 184-188. (in Chinese) 于天河, 戴景民. 基于多重分形的红外图像增强技术[J]. 红外与激光工程, 2010, 39(1): 184-188.
    [8]
    [9]
    [10] B Ben-Dor. Polarization properties of targets and backgrounds in the infrared [C]//Proceedings of SPIE, Advances in Optical Thin Films IV, 1992, 1971: 68-76.
    [11]
    [12] Yang Wei, Gu Guohua, Chen Qian, et al. A wavelet-based adaptive fusion algorithm of infrared polarization imaging[C] //Proceedings of SPIE, International Symposium on Photo Electronic Detection and Imaging, 2011, 8193: 819324-1.
    [13] Wang Zhen, Hong Jing, Ye Song, et al. Study on effect of metal surface roughness on polarized thermal emission [J]. Acta Photonica Sinica, 2007, 36(8): 1500-1502. (in Chinese) 汪震, 洪津, 叶松, 等. 金属表面粗糙度对热红外偏振特性 影响研究[J]. 光子学报, 2007, 36(8): 1500-1502.
    [14]
    [15] Zhao Yongqiang, Gong Peng, Pan Quan. Object detection by spectro polarimeteric imagery fusion [J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(10): 3337-3345.
    [16]
    [17] Zhao Yongqiang, Pan Quan, Cheng Yongmei. Imaging Spectropolarimetric Remote Sensing and Application[M]. Beijing: National Defense Industry Press, 2011: 42-43. (in Chinese) 赵永强, 潘泉, 程咏梅. 成像偏振光谱遥感及应用[M]. 北 京: 国防工业出版社, 2011: 42-43.
    [18]
    [19] Labate D, Lim W Q, Kutyniok G, et al. Sparse multidimensional representation using Shearlets[C]//Proceedings of SPIE, Wavelets XI, 2005, 5914: 254-262.
    [20]
    [21] Miao Qiguang, Shi Cheng, Xu Pengfei, et al. A novel algorithm of image fusion using shearlets [J]. Optics Communications, 2011, 284: 1540-1547.
    [22]
    [23] Feng Huajun, Zhao Jufeng, Xu Zhihai, et al. Fast target enhancement in thermal infrared imagery[C]//37th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz), 2012: 1-2.
    [24]
    [25]
    [26] Tyo J S, Goldstein D L, Chenault D B, et al. Review of passive imaging polarimetry for remote sensing applications[J]. Applied Optics, 2006, 45(22): 5453-5469.
    [27] Aleksandra Pizurica, Wilfried Philips, Ignace Lemahieu, et al. A versatile wavelet domain noise filtration technique for medical imaging [J]. IEEE Trans Med Imaging, 2003, 22(3): 323-331.
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Infrared image enhancement using polarization imaging

  • 1. State Key Laboratory of Optical Instrumentation,Zhejiang University,Hangzhou 310027,China

Abstract: Since the low contrast and lack of details in infrared imagery, a polarization imaging based enhancement method was proposed. Fusing the infrared polarization image and intensity image, this infrared image enhancement approach made the target areas prominent. Firstly, the polarization imaging theory was analyzed, and then polarization images were obtained using the polarization imaging technology. Secondly, the information of polarization images could be well acquired with the help of Shearlets based multi-scale image decomposition. Finally, the enhanced fused result was got with region feature matching. To test the effectiveness of this method, experimental device was built to get real images. Compared with original image, both the subjective and objective evaluation results indicate that the enhanced images have much more image details and polarization information, which is useful for target detection and recognition.

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