High-resolution pseudo-inverse ghost imaging

Wenlin Gong

doi:10.1364/prj.3.000234

Photonics Research, Volume. 3, Issue 5, 234(2015)

High-resolution pseudo-inverse ghost imaging

Wenlin Gong^*

Key Laboratory for Quantum Optics and Center for Cold Atom Physics of CAS, Shanghai Institute of Optics andFine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

show less

References(25)

[1] [1] A. Gatti, E. Brambilla, M. Bache, and L. A. Lugiato, “Ghost imaging with thermal light: comparing entanglement and classical correlation,” Phys. Rev. Lett. 93, 093602 (2004).

[2] [2] R. S. Bennink, S. J. Bentley, R. W. Boyd, and J. C. Howell, “Quantum and classical coincidence imaging,” Phys. Rev. Lett. 92, 033601 (2004).

[3] [3] D. Z. Cao, J. Xiong, and K. Wang, “Geometrical optics in correlated imaging systems,” Phys. Rev. A 71, 013801 (2005).

[4] [4] D. Zhang, Y.-H. Zhai, L.-A. Wu, and X.-H. Chen, “Correlated twophoton imaging with true thermal light,” Opt. Lett. 30, 2354–2356 (2005).

[5] [5] F. Ferri, D. Magatti, A. Gatti, M. Bache, E. Brambilla, and L. A. Lugiato, “High-resolution ghost image and ghost diffraction experiments with thermal light,” Phys. Rev. Lett. 94, 183602 (2005).

[6] [6] M. D. Angelo and Y. H. Shih, “Quantum imaging,” Laser Phys. Lett. 2, 567–596 (2005).

[7] [7] W. Gong, P. Zhang, X. Shen, and S. Han, “Ghost ‘pinhole’ imaging in Fraunhofer region,” Appl. Phys. Lett. 95, 071110 (2009).

[8] [8] O. Katz, Y. Bromberg, and Y. Silberberg, “Compressive ghost imaging,” Appl. Phys. Lett. 95, 131110 (2009).

[9] [9] W. Gong and S. Han, “A method to improve the visibility of ghost images obtained by thermal light,” Phys. Lett. A. 374, 1005–1008 (2010).

[10] [10] J. H. Shapiro and R. W. Boyd, “The physics of ghost imaging,” Quantum Inf. Process. 11, 949–993 (2012).

[11] [11] N. Tian, Q. Guo, A. Wang, D. Xu, and L. Fu, “Fluorescence ghost imaging with pseudothermal light,” Opt. Lett. 36, 3302–3304 (2011).

[12] [12] W. Gong and S. Han, “Correlated imaging in scattering media,” Opt. Lett. 36, 394–396 (2011).

[13] [13] J. Bertolotti, E. G. van Putten, C. Blum, A. Lagendijk, W. L. Vos, and A. P. Mosk, “Non-invasive imaging through opaque scattering layers,” Nature 491, 232–234 (2012).

[14] [14] C. Zhao, W. Gong, M. Chen, E. Li, H. Wang, W. Xu, and S. Han, “Ghost imaging lidar via sparsity constraints,” Appl. Phys. Lett. 101, 141123 (2012).

[15] [15] W. Gong, C. Zhao, J. Jiao, E. Li, M. Chen, H. Wang, W. Xu, and S. Han, “Three-dimensional ghost imaging ladar,” arXiv: 1301.5767 (2013).

[16] [16] P. Zerom, K. W. C. Chan, J. C. Howell, and R. W. Boyd, “Entangled-photon compressive ghost imaging,” Phys. Rev. A 84, 061804 (2011).

[17] [17] J. Du, W. Gong, and S. Han, “The influence of sparsity property of images on ghost imaging with thermal light,” Opt. Lett. 37, 1067–1069 (2012).

[18] [18] P. Clemente, V. Durán, V. Torres-Company, E. Tajahuerce, and J. Lancis, “Optical encryption based on computational ghost imaging,” Opt. Lett. 35, 2391–2393 (2010).

[19] [19] S. Li, X. Yao, W. Yu, L. Wu, and G. Zhai, “High-speed secure key distribution over an optical network based on computational correlation imaging,” Opt. Lett. 38, 2144–2146 (2013).

[20] [20] W. Gong and S. Han, “Experimental investigation of the quality of lensless super-resolution ghost imaging via sparsity constraints,” Phys. Lett. A 376, 1519–1522 (2012).

[21] [21] W. Gong and S. Han, “High-resolution far-field ghost imaging via sparsity constraint,” Sci. Rep. 5, 9280 (2015).

[22] [22] C. Zhang, S. Guo, J. Cao, J. Guan, and F. Gao, “Object reconstitution using pseudo-inverse for ghost imaging,” Opt. Express 22, 30063–30073 (2014).

[23] [23] S. Chountasis, V. N. Katsikis, and D. Pappas, “Digital image reconstruction in the spectral domain utilizing the Moore- Penrose inverse,” Math. Prob. Eng. 2010, 750352 (2010).

[24] [24] R. Barankov and J. Mertz, “High-throughput imaging of selfluminous objects through a single optical fibre,” Nat. Commun. 5, 5581 (2014).

[25] [25] S. M. Kolenderska, O. Katz, M. Fink, and S. Gigan, “Scanning-free imaging through a single fiber by random spatio-spectral encoding,” Opt. Lett. 40, 534–537 (2015).