Ghost imaging through turbulent atmosphere

Cheng, Jing

doi:10.1364/oe.17.007916

Cited by 234 publications

(163 citation statements)

References 20 publications

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“…The effects of turbulence on the image contrast and spatial resolution of reflective ghost imaging are similar those previously found for transmissive ghost imaging [11]. In particular: turbulence does not change the image contrast; turbulence in the target-to-bucket path has no effect on spatial resolution; and turbulence on the signal and reference paths degrades spatial resolution in the same manner, i.e., degradation occurs when they become smaller than the source size.…”

Section: Discussionsupporting

confidence: 77%

“…Target reflection is a passive process, so we require |T (ρ)| ≤ 1, which is in conflict with the Gaussian statistics and the delta-function term in Eq. (11). That delta function, however, leads to quasi-Lambertian reflection, implying that at standoff distances a realistic bucket detector will only capture a very small fraction of the reflected light.…”

Section: Target Reflectionmentioning

confidence: 99%

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Reflective ghost imaging through turbulence

2011

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Recent work has indicated that ghost imaging may have applications in standoff sensing. However, most theoretical work has addressed transmission-based ghost imaging. To be a viable remotesensing system, the ghost imager needs to image rough-surfaced targets in reflection through long, turbulent optical paths. We develop, within a Gaussian-state framework, expressions for the spatial resolution, image contrast, and signal-to-noise ratio of such a system. We consider rough-surfaced targets that create fully developed speckle in their returns, and Kolmogorov-spectrum turbulence that is uniformly distributed along all propagation paths. We address both classical and nonclassical optical sources, as well as a computational ghost imager.

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Section: Discussionsupporting

confidence: 77%

Section: Target Reflectionmentioning

confidence: 99%

Reflective ghost imaging through turbulence

2011

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“…Then a variety of thermal light sources [3][4][5][6][7][8] were used to realize GI. Recently some teams focused on the application of GI, such as GI by measuring reflected photons [9], compressive GI [10][11][12], GI through turbulent atmosphere [13], GI in turbid media [14]. However, only a few teams [7,15,16] focused on the impact of the speckle size on GI.…”

Section: Introductionmentioning

confidence: 99%

Ghost Imaging with Different Speckle Sizes of Thermal Light

Wang¹,

Yu²,

Xin³

et al. 2016

Journal of the Optical Society of Korea

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In this paper, we theoretically and experimentally analyze the impact of speckle size of pseudo-thermal light source on ghost imaging. A larger size of speckle can bring improvements in SNR and visibility. At the same time, the edge blur of the retrieved image will become more serious. We also present a setup which can mitigate the edge blur of larger speckle while maintaining the advantages of higher SNR and visibility by changing the speckle size of the object beam with a concave lens.

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“…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%

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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Ghost imaging through turbulent atmosphere

Cited by 234 publications

References 20 publications

Reflective ghost imaging through turbulence

Reflective ghost imaging through turbulence

Ghost Imaging with Different Speckle Sizes of Thermal Light

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

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