Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area

Junhao Gu; Shuai Sun; Yaokun Xu; Huizu Lin; Weitao Liu

doi:doi:10.3788/COL202119.041102

Chinese Optics Letters, 2021, 19 (4): 041102, Published Online: Jan. 11, 2021

Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area Download： 588次

Junhao Gu ^1,2Shuai Sun ^1,2Yaokun Xu ^1,2Huizu Lin ^1,2Weitao Liu ^1,2,*

Author Affiliations

¹ Department of Physics, College of Liberal Arts and Science, National University of Defense Technology, Changsha 410073, China

² Interdisciplinary Center of Quantum Information, National University of Defense Technology, Changsha 410073, China

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Junhao Gu, Shuai Sun, Yaokun Xu, Huizu Lin, Weitao Liu. Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area[J]. Chinese Optics Letters, 2021, 19(4): 041102.

References

[1] D. N. Klyshko. Two-photon light: influence of filtration and a new possible experiment. Phys. Lett. A, 1988, 128: 133.

[2] T. B. Pittman, Y. H. Shih, D. V. Strekalov, A. V. Sergienko. Optical imaging by means of two-photon quantum entanglement. Phys. Rev. A, 1995, 52: R3429.

[3] A. N. Boto, P. Kok, D. S. Abrams, S. L. Braunstein, C. P. Williams, J. P. Dowling. Quantum interferometric optical lithography: exploiting entanglement to beat the diffraction limit. Phys. Rev. Lett., 2001, 86: 1389.

[4] A. Valencia, G. Scarcelli, M. D’Angelo, Y. Shih. Two-photon imaging with thermal light. Phys. Rev. Lett., 2005, 94: 063601.

[5] D. Zhang, Y.-H. Zhai, L.-A. Wu, X.-H. Chen. Correlated two-photon imaging with true thermal light. Opt. Lett., 2005, 30: 2354.

[6] X. H. Chen, Q. Liu, K. H. Luo, L. A. Wu. Lensless ghost imaging with true thermal light. Opt. Lett., 2009, 34: 695.

[7] X. F. Liu, X. H. Chen, X. R. Yao, W. K. Yu, G. J. Zhai, L. A. Wu. Lensless ghost imaging with sunlight. Opt. Lett., 2014, 39: 2314.

[8] W. L. Gong, S. S. Han. A method to improve the visibility of ghost images obtained by thermal light. Phys. Lett. A, 2010, 374: 1005.

[9] F. Ferri, D. Magatti, L. Lugiato, A. Gatti. Differential ghost imaging. Phys. Rev. Lett., 2010, 104: 253603.

[10] D. Z. Cao, J. Xiong, S. H. Zhang, L. F. Lin, L. Gao, K. Wang. Enhancing visibility and resolution in Nth-order intensity correlation of thermal light. Appl. Phys. Lett., 2008, 92: 013802.

[11] X. H. Chen, I. N. Agafonov, K. H. Luo, Q. Liu, R. Xian, M. V. Chekhova, L. A. Wu. High-visibility, high-order lensless ghost imaging with thermal light. Opt. Lett., 2010, 35: 1166.

[12] J. H. Shapiro. Computational ghost imaging. Phys. Rev. A, 2008, 78: R061802.

[13] X. D. Mei, C. L. Wang, Y. M. Fang, T. Song, W. L. Gong, S. S. Han. Influence of the source’s energy fluctuation on computational ghost imaging and effective correction approaches. Chin. Opt. Lett., 2020, 18: 042602.

[14] Z. J. Li, Q. Zhao, W. L. Gong. Performance comparison of ghost imaging versus conventional imaging in photon shot noise cases. Chin. Opt. Lett., 2020, 18: 071101.

[15] M. Zhang, Q. Wei, X. Shen, Y. Liu, H. Liu, J. Cheng, S. Han. Lensless Fourier-transform ghost imaging with classical incoherent light. Phys. Rev. A, 2007, 75: 021803.

[16] O. Katz, Y. Bromberg, Y. Silberberg. Compressive ghost imaging. Appl. Phys. Lett., 2009, 95: 131110.

[17] Y. Bromberg, O. Katz, Y. Silberberg. Ghost imaging with a single detector. Phys. Rev. A, 2009, 79: 053840.

[18] B. Sun, M. P. Edgar, R. Bowman, L. E. Vittert, S. Welsh, A. Bowman, M. J. Padgett. 3D computational imaging with single-pixel detectors. Science, 2013, 340: 844.

[19] W. Gong, C. Zhao, Y. Hong, M. Chen, W. Xu, S. Han. Three-dimensional ghost imaging lidar via sparsity constraint. Sci. Rep., 2016, 6: 26133.

[20] H. Yu, R. Lu, S. Han, H. Xie, G. Du, T. Xiao, D. Zhu. Fourier-transform ghost imaging with hard X rays. Phys. Rev. Lett., 2016, 117: 113901.

[21] D. Pelliccia, A. Rack, M. Scheel, V. Cantelli, D. M. Paganin. Experimental X-ray ghost imaging. Phys. Rev. Lett., 2016, 117: 113902.

[22] A.-X. Zhang, Y.-H. He, L.-A. Wu, L.-M. Chen, B.-B. Wang. Tabletop X-ray ghost imaging with ultra-low radiation. Optica, 2018, 5: 374.

[23] Y. K. Xu, S. H. Sun, W. T. Liu, G. Z. Tang, J. Y. Liu, P. X. Chen. Detecting fast signals beyond bandwidth of detectors based on computational temporal ghost imaging. Opt. Express, 2018, 26: 99.

[24] L. Li, Q. Li, S. Sun, H. Z. Lin, W. T. Liu, P. X. Chen. Imaging through scattering layers exceeding memory effect range with spatial-correlation-achieved point-spread-function. Opt. Lett., 2018, 43: 1670.

[25] B. I. Erkmen. Computational ghost imaging for remote sensing. J. Opt. Soc. Am. A, 2012, 29: 782.

[26] N. D. Hardy, J. H. Shapiro. Computational ghost imaging versus imaging laser radar for three-dimensional imaging. Phys. Rev. A, 2013, 87: 023820.

[27] C. Gao, X. Wang, Z. Wang, Z. Li, G. Du, F. Chang, Z. Yao. Optimization of computational ghost imaging. Phys. Rev. A, 2017, 96: 023838.

[28] J. Huang, D. Shi. Multispectral computational ghost imaging with multiplexed illumination. J. Opt., 2017, 19: 075701.

[29] W.-T. Liu, T. Zhang, J.-Y. Liu, P.-X. Chen, J.-M. Yuan. Experimental quantum state tomography via compressed sampling. Phys. Rev. Lett., 2012, 108: 170403.

[30] W. L. Gong, S. S. Han. High-resolution far-field ghost imaging via sparsity constraint. Sci. Rep., 2015, 5: 9280.

[31] M. Amann, M. Bayer. Compressive adaptive computational ghost imaging. Sci. Rep., 2013, 3: 1545.

[32] Y. Huo, H. He, F. Chen. Compressive adaptive ghost imaging via sharing mechanism and fellow relationship. Appl. Opt., 2016, 55: 3356.

[33] W. K. Yu, M. F. Li, X. R. Yao, X. F. Liu, L. A. Wu, G. J. Zhai. Adaptive compressive ghost imaging based on wavelet trees and sparse representation. Opt. Express, 2014, 22: 7133.

[34] S. Sun, W. T. Liu, H. Z. Lin, E. F. Zhang, J. Y. Liu, Q. Li, P. X. Chen. Multi-scale adaptive computational ghost imaging. Sci. Rep., 2016, 6: 37013.

[35] M.-F. Li, Y.-R. Zhang, X.-F. Liu, X.-R. Yao, K.-H. Luo, H. Fan, L.-A. Wu. A double-threshold technique for fast time-correspondence imaging. Appl. Phys. Lett., 2013, 103: 211119.

[36] F. Soldevila, E. Salvador-Balaguer, P. Clemente, E. Tajahuerce, J. Lancis. High-resolution adaptive imaging with a single photodiode. Sci. Rep., 2015, 5: 14300.

[37] D. B. Phillips, M. J. Sun, J. M. Taylor, M. P. Edgar, S. M. Barnett, G. M. Gibson, M. J. Padgett. Adaptive foveated single-pixel imaging with dynamic supersampling. Sci. Adv., 2017, 3: e1601782.

[38] Y. Qian, R. Q. He, Q. Chen, G. H. Gu, F. Shi, W. W. Zhang. Adaptive compressed 3D ghost imaging based on the variation of surface normals. Opt. Express, 2019, 27: 27862.

[39] C. Zhou, T. Tian, C. Gao, W. L. Gong, L. J. Song. Multi-resolution progressive computational ghost imaging. J. Opt., 2019, 21: 055702.

[40] L. Wang, S. Zhao. Fast reconstructed and high-quality ghost imaging with fast Walsh–Hadamard transform. Photon. Res., 2016, 4: 240.

[41] Y. A. Geadah, M. J. G. Corinthios. Natural, dyadic, and sequency order algorithms and processors for the Walsh–Hadamard transform. IEEE Trans. Comput., 1977, C-26: 435.

[42] K. W. C. Chan, M. N. O’Sullivan, R. W. Boyd. Optimization of thermal ghost imaging: high-order correlations vs. background subtraction. Opt. Express, 2010, 18: 5562.

[43] H. D. Ren, S. M. Zhao, J. Gruska. Edge detection based on single-pixel imaging. Opt. Express, 2018, 26: 5501.

[44] L. Wang, L. Zou, S. M. Zhao. Edge detection based on subpixel-speckle-shifting ghost imaging. Opt. Commun., 2018, 407: 181.

Junhao Gu, Shuai Sun, Yaokun Xu, Huizu Lin, Weitao Liu. Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area[J]. Chinese Optics Letters, 2021, 19(4): 041102.

Feedback ghost imaging by gradually distinguishing and concentrating onto the edge area Download： 588次

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