Theoretical analysis of quantum ghost imaging through turbulence

Chan, Kam Wai Clifford; Simon, David S.; Sergienko, Alexander V.; Hardy, Nicholas D.; Shapiro, Jeffrey H.; Dixon, Paul; Howland, Gregory A.; Howell, John C.; Eberly, J. H.; O’Sullivan, Malcolm N.; Rodenburg, Brandon; Boyd, Robert W.

doi:10.1103/physreva.84.043807

Cited by 36 publications

(18 citation statements)

References 16 publications

(27 reference statements)

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“…Similarly, we could use RS (7,3,3) for the eight-level grayscale objects, and so on. Since the eight-level grayscale object we selected is 50 50 pixels image, we choose RS (6,2,3), the shortened code from RS(7,3,3) as the channel coding, so that the length of the output sequence from RS encoder is a integer, .…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Different from the conventional QGI which exploits position-momentum entangled photons [1], [4], [6], [7], [9], holographic GI (HGI) is a novel GI scheme which based on orbital angular momentum (OAM) entangled states, and has been experimentally demonstrated [12]. Compared with QGI without OAM, HGI has some advantages.…”

Section: Introductionmentioning

confidence: 98%

“…I N quantum ghost imaging (QGI) [1], images are constructed by means of spatial correlations between pairs of entangled photons [1]- [4], [6], [7], [9]. In each pair, one photon (the signal photon) is passed through an object, and then is detected by a bucket detector with no spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

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Improving the Atmosphere Turbulence Tolerance in Holographic Ghost Imaging System by Channel Coding

Zhao

Wang

Gong

et al. 2013

J. Lightwave Technol.

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Atmospheric turbulence (AT) severely cuts down the image resolutions of holographic ghost imaging (HGI) since orbital angular momentum (OAM) entangled states are associated with the spatial distribution of wave-functions. In this paper, we investigate the method to improve AT tolerance in HGI system. Since Reed-Solomon (RS) codes are important non-binary error correction codes which have strong correcting ability against noise, we use RS codes to develop a RS-coded HGI scheme. In order to verify the improvement quantitatively, we compute and compare the Peak Signal-to-Noise ratio (PSNR) of the reconstructed image in HGI without and with RS codes. The numerical results show that PSNRs go down quickly with the increase of the strength of turbulence, and they are improved greatly by using RS codes. For different grayscale objects, the results show that the improvement by RS codes is enhanced with the increasing correction ability, but it does not work for the same object by enlarging its grayscale to suit for more errors.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Improving the Atmosphere Turbulence Tolerance in Holographic Ghost Imaging System by Channel Coding

Zhao

Wang

Gong

et al. 2013

J. Lightwave Technol.

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“…In a different context, ghost imaging (GI), also known as correlated imaging, is an intriguing optical technique to allow the imaging of objects to be located in optically harsh or noisy environments [4][5][6][7][8][9][10][11]. Normally, there are two optical beams in a GI system.…”

Section: Introductionmentioning

confidence: 99%

High performance optical encryption based on computational ghost imaging with QR code and compressive sensing technique

Zhao

Wang

Liang

et al. 2015

Optics Communications

122

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“…In such applications, imaging through turbulent atmosphere would become unavoidable. Theoretical and experimental investigations into the effect of turbulence on the performance of ghost imaging have been reported [18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Standoff two-color quantum ghost imaging through turbulence

et al. 2014

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Recently, a two-color quantum ghost imaging configuration was proposed by Karmakar et al. [Phys. Rev. A81, 033845 (2010)]. By illuminating an object located far away from the source and detector, with a signal beam of long wavelength to avoid absorption of short wavelengths in the atmosphere while a reference beam of short wavelength is detected locally, this imaging configuration can be appropriate for standoff sensing. In practice, the signal beam must propagate through atmosphere in the presence of serious turbulence. We analyzed theoretically the performance of this ghost imaging configuration through turbulence. Based on the Gaussian state source model and extended Huygens-Fresnel integral, a formula is derived to depict the ghost image formed through turbulence of a standoff reflective object. Numerical calculations are also given according to the formula. The results show that the image quality will be degraded by the turbulence, but the resolution can be improved by means of optimizing the wavelengths of the reference and signal beams even when the turbulence is very serious.

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Theoretical analysis of quantum ghost imaging through turbulence

Cited by 36 publications

References 16 publications

Improving the Atmosphere Turbulence Tolerance in Holographic Ghost Imaging System by Channel Coding

Improving the Atmosphere Turbulence Tolerance in Holographic Ghost Imaging System by Channel Coding

High performance optical encryption based on computational ghost imaging with QR code and compressive sensing technique

Standoff two-color quantum ghost imaging through turbulence

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