Correspondence normalized ghost imaging on compressive sensing

doi:10.1088/1674-1056/23/5/054203

Abstract Ghost imaging (GI) offers great potential with respect to conventional imaging techniques. It is an open problem in GI systems that a long acquisition time is be required for reconstructing images with good visibility and signal-to-noise ratios (SNRs). In this paper, we propose a new scheme to get good performance with a shorter construction time. We call it correspondence normalized ghost imaging based on compressive sensing (CCNGI). In the scheme, we enhance the signal-to-noise performance by normalizing the reference beam intensity to eliminate the noise caused by laser power fluctuations, and reduce the reconstruction time by using both compressive sensing (CS) and time-correspondence imaging (CI) techniques. It is shown that the qualities of the images have been improved and the reconstruction time has been reduced using CCNGI scheme. For the two-grayscale “double-slit” image, the mean square error (MSE) by GI and the normalized GI (NGI) schemes with the measurement number of 5000 are 0.237 and 0.164, respectively, and that is 0.021 by CCNGI scheme with 2500 measurements. For the eight-grayscale “lena” object, the peak signal-to-noise rates (PSNRs) are 10.506 and 13.098, respectively using GI and NGI schemes while the value turns to 16.198 using CCNGI scheme. The results also show that a high-fidelity GI reconstruction has been achieved using only 44% of the number of measurements corresponding to the Nyquist limit for the two-grayscale “double-slit” object. The qualities of the reconstructed images using CCNGI are almost the same as those from GI via sparsity constraints (GISC) with a shorter reconstruction time.

Keywords: ghost imaging compressive sensing time-correspondence normalizing

Received: 21 August 2013
Revised: 22 October 2013
Accepted manuscript online:

PACS:	42.50.Ar
	42.30.Wb	(Image reconstruction; tomography)
	42.25.Kb	(Coherence)
	42.30.Va	(Image forming and processing)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61271238), the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20123223110003), and the University Natural Science Research Foundation of Jiangsu Province, China (Grant No. 11KJA510002).

Corresponding Authors: Zhao Sheng-Mei
E-mail: zhaosm@njupt.edu.cn

About author: 42.50.Ar; 42.30.Wb; 42.25.Kb; 42.30.Va

Cite this article:

Zhao Sheng-Mei (赵生妹), Zhuang Peng (庄鹏) Correspondence normalized ghost imaging on compressive sensing 2014 Chin. Phys. B 23 054203

[1]	Klyshko D N 1988 Photons and Nonlinear Optics (New York: Gordon and Breach Science)
[2]	Pittman T B, Shih Y H, Strekalov D V and Sergienko A V 1995 Phys. Rev. A 52 R3429
[3]	Strekalov D V, Sergienko A V, Klyshko D N and Shih Y H 1995 Phys. Rev. Lett. 74 3600
[4]	Abouraddy A F, Saleh B E A, Sergienko A V and Teich M C 2001 Phys. Rev. Lett. 87 123602
[5]	Zhao S M, Ding J, Dong X L and Zheng B Y 2011 Chin. Phys. Lett. 28 124207
[6]	Zhao S M,Yang H, Li Y Q, Cao F, Sheng Y B, Cheng W W and Gong L Y 2013 Opt. Commun. 294 223
[7]	Li Y Q, Yang H, Liu J, Gong L Y, Sheng Y B, Cheng W W and Zhao S M 2013 Chin. Opt. Lett. 11 021104
[8]	Bennink R S, Benley S J and Boyd R W 2002 Phys. Rev. Lett. 89 113601
[9]	Gatti A, Brambilla E, Bache M and Lugiato L A 2004 Phys. Rev. A 70 013802
[10]	Valencia A, Scarcelli G D, Angelo M and Shih Y H 2005 Phys. Rev. Lett. 94 063601
[11]	Li H, Chen Z, Xiong J and Zeng G H 2012 Opt. Express 20 2956
[12]	Li H, Xiong J and Zeng G H 2011 Opt. Eng. 50 127005
[13]	Shapiro J H 2008 Phys. Rev. A 78 061802
[14]	Gong W L and Han S S 2010 Phys. Lett. A 374 1005
[15]	Ferri F, Magatti D, Lugiato L A and Gatti A 2010 Phys. Rev. Lett. 104 253603
[16]	Sun B Q, Welsh S S, Edgar M P, Shapiro J H and Padgett M J 2012 Opt. Express 20 16892
[17]	Gong W L and Han S S 2012 Phys. Lett. A 376 1519
[18]	Katz O, Bromberg Y and Silberberg Y 2009 Appl. Phys. Lett. 95 131110
[19]	Wang H and Han S S 2012 Europhys. Lett. 98 24003
[20]	Zhao C Q, Gong W L, Chen M L, Li E R, Wang H, Xu W D and Han S S 2013 Appl. Phys. Lett. 101 141123
[21]	Gong W L and Han S S 2012 Phys. Lett. A 376 1519
[22]	Du J, Gong W L and Han S S 2012 Opt. Lett. 37 1067
[23]	Gong W L and Han S S 2012 J. Opt. Soc. Am. A 29 1571
[24]	Gong W L and Han S S 2013 Appl. Phys. Lett. 102 021111
[25]	Bai X, Li Y Q and Zhao S M 2013 Acta Phys. Sin. 62 044209 (in Chinese)
[26]	Luo K H, Huang B Q, Zheng W M and Wu L A 2012 Chin. Phys. Lett. 29 074216
[27]	Li M F, ZhangY R, Luo K H, Wu L A and Fan H 2013 Phys. Rev. A 87 033813
[28]	Wen J M 2013 J. Opt. Soc. Am. A 29 1906
[29]	Bai Y F, Yang W X and Yu X Q 2012 Chin. Phys. B 21 044206
[30]	Liu Q, Luo K H, Chen X H and Wu L A 2010 Chin. Phys. B 19 094211
[31]	Katkovnik V and Astola J 2012 J. Opt. Soc. Am. A 29 1556
[32]	Meyers R E, Deacon K S and Shih Y H 2012 Appl. Phys. Lett. 100 131114
[33]	Hardy N D and Shapiro J H 2013 Phys. Rev. A 87 023820
[34]	Chen W and Chen X D 2013 Opt. Lett. 38 546
[35]	Zhang E F and Dai H Y 2011 Acta Phys. Sin. 60 064209 (in Chinese)
[36]	Yang H and Zhao S M 2012 Acta Opt. Sin. 32 243 (in Chinese)
[37]	Donoho D L 2006 IEEE Trans. Infor. 52 1289
[38]	Candes E J and Wakin M B 2008 IEEE Signal Process. Mag. 25 21, and refrences therein
[39]	Koschan A and Abidi M 2008 Digital Color Image Processing (New Jersey: Wiley-Interscience)

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