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Compressed polarimetric ghost imaging of different material's reflective objects

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Abstract

In recent years, ghost imaging has been received more and more attention. Here, a computational polarimetric ghost imaging of the different material reflective objects which uses compressive sensing algorithm is reported. In contrast with conventional ghost imaging, the scheme obtains the depolarization parameter of the reflected light from the objects, and both the polarization and reflected information of the objects can be retrieved. The results show that this imaging technique provides higher effective recognition ability to distinguish the different material objects than that of conventional ghost imaging when they have different polarization parameters. A simple multi-image information fusion method is proposed to improve the efficiency of object recognition.

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Acknowledgments

Project supported by the National Natural Science Foundation of China (Grant Nos. 11404344, 41475001, 41205020, and 41127901).

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Authors and Affiliations

  1. Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China

    Dong-Feng Shi, Feng Wang, Huang Jian, Cao Kai-Fa, Kee Yuan, Hu Shun-Xing & Wang Ying-Jian

  2. University of Science and Technology of China, Hefei, 230026, China

    Feng Wang & Wang Ying-Jian

  3. State Key Laboratory of Pulsed Power Laser Technology, Electronic Engineering Institute, Hefei, 230037, China

    Feng Wang

Authors
  1. Dong-Feng Shi
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  2. Feng Wang
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  3. Huang Jian
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  4. Cao Kai-Fa
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  5. Kee Yuan
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  6. Hu Shun-Xing
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  7. Wang Ying-Jian
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Correspondence to Cao Kai-Fa.

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Shi, DF., Wang, F., Jian, H. et al. Compressed polarimetric ghost imaging of different material's reflective objects. Opt Rev 22, 882–887 (2015). https://doi.org/10.1007/s10043-015-0142-1

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  • DOI: https://doi.org/10.1007/s10043-015-0142-1

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