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Iterative filtered ghost imaging |
| Shao-Ying Meng(孟少英)1, Mei-Yi Chen(陈美伊)1, Jie Ji(季杰)1, Wei-Wei Shi(史伟伟)1, Qiang Fu(付强)1, Qian-Qian Bao(鲍倩倩)1, Xi-Hao Chen(陈希浩)1,†, and Ling-An Wu(吴令安)2 |
1 Key Laboratory of Optoelectronic Devices and Detection Technology, School of Physics, Liaoning University, Shenyang 110036, China;
2 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract It is generally believed that, in ghost imaging, there has to be a compromise between resolution and visibility. Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image of a grayscale object is achieved, while at the same time the signal-to-noise ratio (SNR) and visibility are greatly improved, without adding complexity. The dependence of the SNR, visibility, and resolution on the number of iterations is also investigated and discussed. Moreover, with the use of compressed sensing the sampling number can be reduced to less than 1% of the Nyquist limit, while maintaining image quality with a resolution that can exceed the Rayleigh diffraction bound by more than a factor of 10.
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Received: 17 July 2021
Revised: 22 September 2021
Accepted manuscript online: 24 September 2021
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PACS:
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87.57.cf
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(Spatial resolution)
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87.63.lm
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(Image enhancement)
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| Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2018YFB0504302), the National Natural Science Foundation of China (Grant No. 61975229), and Civil Space Project (Grant No. D040301). |
Corresponding Authors:
Xi-Hao Chen
E-mail: xi-haochen@163.com
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Cite this article:
Shao-Ying Meng(孟少英), Mei-Yi Chen(陈美伊), Jie Ji(季杰), Wei-Wei Shi(史伟伟), Qiang Fu(付强), Qian-Qian Bao(鲍倩倩), Xi-Hao Chen(陈希浩), and Ling-An Wu(吴令安) Iterative filtered ghost imaging 2022 Chin. Phys. B 31 028702
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[1] Pittman T, Shih Y H, Strekalov D and Sergienko A 1995 Phys. Rev. A 52 R3429
[2] Cheng J and Han S 2004 Phys. Rev. Lett. 92 093903
[3] Brambilla A E, Bache M and Lugiato L A 2004 Phys. Rev. Lett. 93 093602
[4] Cai Y J and Zhu S Y 2005 Phys. Rev. E 71 056607
[5] Cao D Z, Xiong J and Wang K G 2005 Phys. Rev. A 71 013801
[6] Valencia A, Scarcelli G, D'Angelo M and Shih Y 2005 Phys. Rev. Lett. 94 063601
[7] Zhang D, Zhai Y H, Wu L A and Chen X H 2005 Opt. Lett. 30 2354
[8] Chen X H, Liu Q, Luo K H and Wu L A 2009 Opt. Lett. 34 695
[9] Gong W L and Han S S 2011 Opt. Lett. 36 394
[10] Cheng J 2009 Opt. Express 17 7916
[11] Radwell N, Mitchell K J, Gibson G M, Edgar M P, Bowman R and Padgett M J 2014 Optica 1 285
[12] Zhao C Q, Gong W L, Chen M L, Li E R, Wang H, Xu W D and Han S S 2012 Appl. Phys. Lett. 101 141123
[13] Clemente P, Durn V, Torres-Company V, Tajahuerce E and Lancis J 2010 Opt. Lett. 35 2391
[14] Chen X H, Agafonov I N, Luo K H, Liu Q, Xian R, Chekhova M V and Wu L A 2010 Opt. Lett. 35 1166
[15] Ferri F, Magatti D, Lugiato L A and Gatti A 2010 Phys. Rev. Lett. 104 253603
[16] Shapiro J H 2008 Phys. Rev. A 78 061802
[17] Sun M J, Edgar M P, Phillips D B, Gibson G M and Padgett M J 2016 Opt. Express 24 010476
[18] Luo K H, Huang B Q, Zheng W M and Wu L A 2012 Chin. Phys. Lett. 29 074216
[19] Katz O, Bromberg Y and Silberberg Y 2009 Appl. Phys. Lett. 95 131110
[20] Shechtman Y, Gazit S, Szameit A, Eldar Y C and Segev M 2010 Opt. Lett. 35 1148
[21] Zhang P L, Gong W L, Shen X, Huang D J and Han S S 2009 Opt. Lett. 34 1222
[22] Sprigg J, Peng T and Shih Y H 2016 Sci. Rep. 6 38077
[23] Gong W L and Han S S 2012 Phys. Lett. A 376 1519
[24] Oh J E, Cho Y W, Scarcelli G and Kim Y H 2013 Opt. Lett. 38 682
[25] Yao X R, Li L Z, Liu X F, Yu W K and Zhai G J 2013 Chin. Phys. B 24 044203
[26] Chen X H, Kong F H, Fu Q, Meng S Y and Wu L A 2017 Opt. Lett. 42 5290
[27] Meng S Y, Sha Y H, Fu Q, Bao Q Q, Shi W W, Li G D, Chen X H and Wu L A 2018 Opt. Lett. 43 4759
[28] Wang W, Wang Y P, Li J H, Yang X X and Wu Y 2014 Opt. Lett. 39 5150
[29] Yao X R, Yu W K, Liu X F, Li L Z, Li M F, Wu L A and Zhai G J 2014 Opt. Express 22 24268
[30] Horisaki R, Takagi R and Tanida J 2016 Opt. Express 24 13738
[31] Yu M L, Wang W, Wang H O, Wang H C, Li G W, Chen N and Situ G H 2017 Sci. Rep. 7 17865
[32] He Y C, Wang G, Dong G X, Zhu S T, Chen H, Zhang A X and Xu Z 2018 Sci. Rep. 8 6469
[33] Meng S Y, Shi W W, Ji J, Tao J J, Fu Q, Chen X H and Wu L A 2020 Chin. Phys. B 29 128704
[34] Wang K G and Cao D Z 2004 Phys. Rev. A 70 041801
[35] Li M F, Zhang Y R, Luo K H, Wu L A and Fan H 2013 Phys. Rev. A 87 033813
[36] Basano L and Ottonello P 2016 Opt. Express 15 12386 |
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