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{{Short description|Imaging technique}}
{{orphan|date=January 2010}}
{{Use American English|date = April 2019}}
{{Use mdy dates|date = April 2019}}


'''Ghost imaging''' (also called "coincidence imaging", "two-photon imaging" or "correlated-photon imaging") is a technique that produces an [[image]] of an object by combining information from two light detectors: a conventional, ''multi-[[pixel]]'' detector that ''does not'' view the object, and a ''single-pixel'' (bucket) detector that ''does'' view the object.<ref name="SimonJaeger2017">{{cite book|last1=Simon|first1=David S.|last2=Jaeger|first2=Gregg|last3=Sergienko|first3=Alexander V. |title=Quantum Metrology, Imaging, and Communication |chapter=Chapter 6 — Ghost Imaging and Related Topics |year=2017 |pages=131–158 |issn=2364-9054 |doi=10.1007/978-3-319-46551-7_6}}</ref> Two techniques have been demonstrated. A [[Quantum mechanics|quantum]] method uses a source of pairs of [[quantum entanglement|entangled]] [[photon]]s, each pair shared between the two detectors, while a classical method uses a pair of correlated coherent beams without exploiting entanglement. Both approaches may be understood within the framework of a single theory.<ref name="ErkmenShapiro2008">{{cite journal|last1=Erkmen|first1=Baris I.|last2=Shapiro|first2=Jeffrey H.|title=Unified theory of ghost imaging with Gaussian-state light|journal=Physical Review A|volume=77|issue=4|pages=043809|year=2008|issn=1050-2947|doi=10.1103/PhysRevA.77.043809 |arxiv=0712.3554|bibcode=2008PhRvA..77d3809E|s2cid=37972784}}</ref>
{{Wikify|date=January 2010}}


== History ==
'''Ghost imaging''' (GI) is a technique that allows a [[high resolution]] [[camera]] to produce an image of an object which the camera cannot itself see. The first demonstrations of ghost imaging were based on the [[Light#Quantum_theory|quantum nature of light]]. Specifically, [[quantum correlation]]s between [[photon]] pairs were utilized to build up an image of the unseen object. When one of the photons strikes the object, the other follows a different path to the camera's [[camera lens|lens]]. If the camera is constructed to only record [[pixel]]s from photons that hit simultaneously at the object and the camera's [[image plane]], an image of the object is reconstructed.
The first demonstration of ghost imaging, performed by T. B. Pittman, Y. H. Shih, D. V. Strekalov, and A. V. Sergienko in 1995, was based on [[quantum correlation]]s between [[Quantum entanglement|entangled]] [[photon]] pairs.<ref>{{Cite journal |last1=Pittman |first1=T. B. |last2=Shih |first2=Y. H. |last3=Strekalov |first3=D. V. |last4=Sergienko |first4=A. V. |date=1995-11-01 |title=Optical imaging by means of two-photon quantum entanglement |url=https://journals.aps.org/pra/abstract/10.1103/PhysRevA.52.R3429 |journal=Physical Review A |language=en |volume=52 |issue=5 |pages=R3429–R3432 |doi=10.1103/PhysRevA.52.R3429 |pmid=9912767 |bibcode=1995PhRvA..52.3429P |issn=1050-2947}}</ref> One of the photons of the pair strikes the object and then the bucket detector while the other follows a different path to a (multi-pixel) [[camera]]. The camera is constructed to only record pixels from entangled photon pairs that hit both the bucket detector and the camera's [[image plane]] (as opposed to entangled photon pairs where one hit the image plane but the other does not hit the bucket detector, which are not registered). Then a large number of registered entangled pairs gradually forms a full image.


Later experiments indicated that the correlations between the [[light beam]] that hits the camera and the beam that hits the object may be explained by purely classical physics.<ref>{{Cite journal |last1=Gatti |first1=A. |last2=Brambilla |first2=E. |last3=Bache |first3=M. |last4=Lugiato |first4=L. A. |date=2004-08-26 |title=Ghost Imaging with Thermal Light: Comparing Entanglement and Classical Correlation |url=https://link.aps.org/doi/10.1103/PhysRevLett.93.093602 |journal=Physical Review Letters |language=en |volume=93 |issue=9 |pages=093602 |arxiv=quant-ph/0307187 |doi=10.1103/PhysRevLett.93.093602 |pmid=15447100 |bibcode=2004PhRvL..93i3602G |s2cid=53345826 |issn=0031-9007}}</ref> If quantum correlations are present, the signal-to-noise [[ratio]] of the reconstructed image can be improved. In 2009 'pseudothermal ghost imaging' and 'ghost [[diffraction]]' were demonstrated by implementing the 'computational ghost-imaging' scheme,<ref name="BrombergKatz2009">{{cite journal|last1=Bromberg|first1=Yaron|last2=Katz|first2=Ori|last3=Silberberg|first3=Yaron|title=Ghost imaging with a single detector|journal=Physical Review A|volume=79|issue=5|pages=053840|year=2009|issn=1050-2947|doi=10.1103/PhysRevA.79.053840 |arxiv=0812.2633|bibcode=2009PhRvA..79e3840B|s2cid=118390098}}</ref> which relaxed the need to evoke quantum correlations arguments for the pseudothermal source case.<ref name="Shapiro2008">{{cite journal |last1=Shapiro|first1=Jeffrey H. |title=Computational ghost imaging |journal=Physical Review A |volume=78 |issue=6|pages=061802 |year=2008 |issn=1050-2947 |doi=10.1103/PhysRevA.78.061802 |arxiv=0807.2614|bibcode=2008PhRvA..78f1802S|s2cid=10576835 }}</ref>
It was soon realized that the correlations between the [[light beam]] that hits the camera and the beam that hits the object can be purely classical. If quantum correlations are present, the signal-to-noise [[ratio]] of the reconstructed image can be improved. The exact role of quantum and classical correlations in ghost imaging is still controversial.


⚫
Recently, it was shown that the principles of [[compressed sensing|'Compressed-Sensing']] can be directly utilized to reduce the number of measurements required for image reconstruction in ghost imaging.<ref name="KatzBromberg2009">{{cite journal|last1=Katz|first1=Ori |last2=Bromberg|first2=Yaron |last3=Silberberg|first3=Yaron |title=Compressive ghost imaging|journal=Applied Physics Letters |volume=95 |issue=13 |year=2009 |pages=131110 |issn=0003-6951 |doi=10.1063/1.3238296 |arxiv=0905.0321|bibcode=2009ApPhL..95m1110K|s2cid=118516184 }}</ref> This technique allows an N pixel image to be produced with far less than N measurements and may have applications in [[lidar|LIDAR]] and [[microscopy]].
In 2009 'pseudothermal ghost imaging' and 'ghost [[diffraction]]' were demonstrated using only a single single-pixel detector [4]. This was achieved by implementing the 'Computational ghost-imaging' scheme [5], relaxing the need to evoke quantum correlations arguments for the pseudothermal source case.


=== Advances in military research ===
⚫
Recently, it was shown that the principles of [[compressed_sensing|'Compressed-Sensing']] can be directly utilized to reduce the number of measurements required for image reconstruction in GI [6]. This allowed to acquire an N pixel image with much less than N measurements and may have applications in [[lidar|LIDAR]] and [[microscopy]]
The [[U.S. Army Research Laboratory]] (ARL) developed remote ghost imaging in 2007 with the goal of applying advanced technology to the ground, [[satellite]]s and [[unmanned aerial vehicle]]s.<ref>{{Cite web|url=https://defensesystems.com/articles/2014/01/06/arl-quantum-ghost-imaging.aspx|title=ARL's 'ghost imaging' cuts through battlefield turbulence -- Defense Systems|website=Defense Systems|language=en|access-date=2018-07-10}}</ref> Ronald E. Meyers and Keith S. Deacon of ARL, received a patent in 2013 for their quantum imaging technology called, "System and Method for Image Enhancement and Improvement."<ref>{{Cite web|url=https://www.arl.army.mil/www/default.cfm/default.cfm?article=2409|title=Army scientists' 19 patents lead to quantum imaging advances {{!}} U.S. Army Research Laboratory|website=www.arl.army.mil|language=en|access-date=2018-07-10}}</ref> The researchers received the Army Research and Development Achievement Award for outstanding research in 2009 with the first ghost image of a remote object.<ref name=":0">{{Cite web|url=https://www.arl.army.mil/www/default.cfm?article=943|title=Virtual ghost imaging principle exploredARL scientists prove light can get to a target through obscurants {{!}} U.S. Army Research Laboratory|website=www.arl.army.mil|language=en|access-date=2018-07-10}}</ref>


==References==
==Mechanism==
A simple example clarifies the basic principle of ghost imaging.<ref name="physical review">{{cite journal |title="Two-Photon" Coincidence Imaging with a Classical Source |journal=Physical Review Letters |volume=89 |issue=11 |page=113601 |doi=10.1103/PhysRevLett.89.113601 |author1=Ryan S. Bennink |author2=Sean J. Bentley |author3=Robert W. Boyd |year=2002 |bibcode = 2002PhRvL..89k3601B |pmid=12225140}}</ref> Imagine two transparent boxes: one that is empty and one that has an object within it. The back wall of the empty box contains a grid of many pixels (i.e. a camera), while the back wall of the box with the object is a large single-pixel (a bucket detector). Next, shine [[laser]] light into a beamsplitter and reflect the two resulting beams such that each passes through the same part of its respective box at the same time. For example, while the first beam passes through the empty box to hit the pixel in the top-left corner at the back of the box, the second beam passes through the filled box to hit the top-left corner of the bucket detector.
⚫
[1] [http://technology.newscientist.com/article/dn13825-quantum-camera-snaps-objects-it-cannot-see.html Quantum camera snaps objects it cannot 'see'] by Belle Dume, New Scientist, 2 May 2008. Accessed July 2008


Now imagine moving the laser beam around in order to hit each of the pixels at the back of the empty box, meanwhile moving the corresponding beam around the box with the object. While the first light beam will always hit a pixel at the back of the empty box, the second light beam will sometimes be blocked by the object and will not reach the bucket detector. A processor receiving a signal from both light detectors only records a pixel of an image when light hits both detectors at the same time. In this way, a silhouette image can be constructed, even though the light going towards the multi-pixel camera did not touch the object.
⚫
[2] [http://blog.wired.com/defense/2008/06/ghost-imaging-s.html Air Force Demonstrates 'Ghost Imaging'] By Sharon Weinberger , Wired, 3 June 2008. Accessed July 2008


In this simple example, the two boxes are illuminated one pixel at a time. However, using quantum correlation between photons from the two beams, the correct image can also be recorded using complex light distributions. Also, the correct image can be recorded using only the single beam passing through a computer-controlled light modulator to a single-pixel detector.<ref name="Shapiro2008"/>
[4] [http://arxiv.org/abs/0812.2633 'Ghost Imaging with a Single Detector'] by Y.Bromberg, O.Katz and Y.Silberberg.


==Applications==
[5] [http://arxiv1.library.cornell.edu/abs/0807.2614v1 'Computational Ghost Imaging'] by J.Shapiro.
===Bessel beam illumination ===
{{As of|2012}}, [[U.S. Army Research Laboratory|ARL]] scientists developed a diffraction-free light beam, also called Bessel beam illumination. In a paper published February 10, 2012, the team outlined their feasibility study of virtual ghost imaging using the Bessel beam, to address adverse conditions with limited visibility, such as cloudy water, jungle foliage, or around corners.<ref name=":0" /><ref>{{Cite news|url=https://www.fastcompany.com/3009438/the-armys-secret-weapon-is-this-quantum-physicist-pioneer-of-ghost-imaging|title=The Army's Secret Weapon Is This Quantum Physicist, Pioneer Of "Ghost Imaging"|date=2013-05-07|work=Fast Company|access-date=2018-07-10|language=en-US}}</ref> Bessel beams produce concentric-circle patterns. When the beam is blocked or obscured along its trajectory, the original pattern eventually reforms to create a clear picture.<ref>{{Cite news|url=https://www.sciencedaily.com/releases/2012/02/120215155311.htm|title=Virtual ghost imaging: New technique enables imaging even through highly adverse conditions|work=ScienceDaily|access-date=2018-07-10|language=en}}</ref>


===Imaging with very low light levels===
[6] [http://arxiv.org/abs/0905.0321 'Compressive Ghost Imaging'] by O.Katz, Y.Bromberg and Y.Silberberg
The [[spontaneous parametric down-conversion]] (SPDC) process provides a convenient source of entangled-photon pairs with strong spatial correlations.<ref name="WalbornMonken2010">{{cite journal |last1=Walborn |first1=S.P. |last2=Monken |first2=C.H. |last3=Pádua|first3=S. |last4=Souto Ribeiro|first4=P.H. |title=Spatial correlations in parametric down-conversion |journal=Physics Reports |volume=495 |issue=4–5 |year=2010 |pages=87–139 |issn=0370-1573 |doi=10.1016/j.physrep.2010.06.003 |arxiv=1010.1236 |bibcode=2010PhR...495...87W |s2cid=119221135 }}</ref> Such heralded single photons can be used to achieve a high signal-to-noise ratio, virtually eliminating background counts from the recorded images. By applying principles of image compression and associated image reconstruction, high-quality images of objects can be formed from raw data with an average of fewer than one detected photon per image pixel.<ref name="MorrisAspden2015">{{cite journal|last1=Morris|first1=Peter A.|last2=Aspden|first2=Reuben S.|last3=Bell|first3=Jessica E. C.|last4=Boyd|first4=Robert W.|last5=Padgett|first5=Miles J.|title=Imaging with a small number of photons|journal=Nature Communications|volume=6|year=2015|pages=5913|issn=2041-1723|doi=10.1038/ncomms6913|pmid=25557090|pmc=4354036|arxiv=1408.6381|bibcode=2015NatCo...6.5913M}}</ref>


===Photon-sparse microscopy with infrared light===
⚫
[[Category:Quantum mechanics]]
Infrared cameras that combine low-noise with single-photon sensitivity are not readily available. Infrared illumination of a vulnerable target with sparse photons can be combined with a camera counting visible photons through the use of ghost imaging with correlated photons that have significantly different wavelengths, generated by a highly non-[[Degenerate energy levels|degenerate]] SPDC process. Infrared photons with a wavelength of 1550&nbsp;nm illuminate the target and are detected by an InGaAs/InP single-photon avalanche diode. The image data are recorded from the coincidently detected, position-correlated, visible photons with a wavelength of 460&nbsp;nm using a highly efficient, low-noise, photon-counting camera. Light-sensitive biological samples can thereby be imaged.<ref name="AspdenGemmell2015">{{cite journal|last1=Aspden|first1=Reuben S. |last2=Gemmell|first2=Nathan R. |last3=Morris|first3=Peter A. |last4=Tasca|first4=Daniel S. |last5=Mertens|first5=Lena |last6=Tanner|first6=Michael G. |last7=Kirkwood|first7=Robert A. |last8=Ruggeri|first8=Alessandro |last9=Tosi|first9=Alberto |last10=Boyd|first10=Robert W. |last11=Buller|first11=Gerald S. |last12=Hadfield |first12=Robert H. |last13=Padgett |first13=Miles J. |title=Photon-sparse microscopy: visible light imaging using infrared illumination |journal=Optica |volume=2 |issue=12 |year=2015 |pages=1049 |issn=2334-2536 |doi=10.1364/OPTICA.2.001049|bibcode=2015Optic...2.1049A |url=http://eprints.gla.ac.uk/112219/1/112219.pdf |doi-access=free }}</ref>
⚫
[[Category:Photographic techniques]]


===Remote sensing===
Ghost imaging is being considered for application in remote-sensing systems as a possible competitor with imaging laser [[radar]]s ([[LIDAR]]). A theoretical performance comparison between a pulsed, computational ghost imager and a pulsed, floodlight-illumination imaging laser radar identified scenarios in which a reflective ghost-imaging system has advantages.<ref name="HardyShapiro2013">{{cite journal |last1=Hardy |first1=Nicholas D. |last2=Shapiro|first2=Jeffrey H. |title=Computational ghost imaging versus imaging laser radar for three-dimensional imaging |journal=Physical Review A |volume=87 |issue=2|pages=023820 |year=2013 |issn=1050-2947 |doi=10.1103/PhysRevA.87.023820 |arxiv=1212.3253 |bibcode=2013PhRvA..87b3820H |s2cid=571212 }}</ref>


=== X-ray and electron ghost imaging ===
{{Physics-stub}}
Ghost-imaging has been demonstrated for a variety of photon science applications. A ghost-imaging experiment for hard [[x-ray]]s was recently achieved using data obtained at the European Synchrotron.<ref name="Pelliccia2016">{{cite journal |last1=Pelliccia |first1=Daniele |last2=Rack|first2=Alexander |last3=Scheel|first3=Mario |last4=Cantelli|first4=Valentina|last5=Paganin|first5=David M.|title=Experimental X-ray Ghost Imaging |journal=Physical Review Letters |volume=117 |issue=11|pages=113902 |year=2016 |doi=10.1103/PhysRevLett.117.113902 |pmid=27661687 |arxiv=1605.04958|bibcode=2016PhRvL.117k3902P|s2cid=206281577 }}</ref> Here, speckled pulses of x-rays from individual electron synchrotron bunches were used to generate a ghost-image basis, enabling proof-of-concept for experimental x-ray ghost imaging. At the same time that this experiment was reported, a [[Frequency domain|Fourier-space]] variant of x-ray ghost imaging was published.<ref name="Yu2016">{{cite journal |last1=Yu |first1=H. |last2=Lu|first2=R. |last3=Han|first3=S. |last4=Xie|first4=H.|last5=Du|first5=G.|last6=Xiao|first6=T.|last7=Zhu|first7=D.|title=Fourier-Transform Ghost Imaging with Hard X Rays |journal=Physical Review Letters |volume=117 |issue=11|pages=113901 |year=2016 |doi=10.1103/PhysRevLett.117.113901 |pmid=27661686 |arxiv=1603.04388|bibcode=2016PhRvL.117k3901Y|s2cid=11073798 }}</ref> Ghost imaging has also been proposed for X-ray FEL applications.<ref name=“Ratner2019”>{{cite journal |last1=Ratner |first1=D. |last2=Cryan |first2=J.P. |last3=Lane|first3=T.J. |last4=Li|first4=S.|last5=Stupakov|first5=G.|title=Pump-Probe Ghost Imaging with SASE FELs |journal=Physical Review X |volume=9 |issue=1|pages=011045 |year=2019 |doi=10.1103/PhysRevX.9.011045 |bibcode=2019PhRvX...9a1045R |doi-access=free }}</ref> Classical ghost imaging with compressive sensing has also been demonstrated with ultra-relativistic [[electron]]s.<ref name=“Li2018”>{{cite journal |last1=Li |first1=S. |last2=Cropp |first2=F. |last3=Kabra |first3=K. |last4=Lane|first4=T.J.|last5=Wetzstein|first5=G.| last6=Musumeci|first6=P.|last7=Ratner|first7=D.| title=Electron Ghost Imaging|journal=Physical Review Letters |volume=121 |issue=11|pages=114801 |year=2018 |doi=10.1103/PhysRevLett.121.114801 |pmid=30265113 |bibcode=2018PhRvL.121k4801L |doi-access=free }}</ref>
{{quantum-stub}}

==References==
{{reflist}}

== External links ==
⚫
* [https://web.archive.org/web/20080513050042/http://technology.newscientist.com/article/dn13825-quantum-camera-snaps-objects-it-cannot-see.html Quantum camera snaps objects it cannot 'see'] by Belle Dume, New Scientist, 2 May 2008. Accessed July 2008
⚫
* [http://blog.wired.com/defense/2008/06/ghost-imaging-s.html Air Force Demonstrates 'Ghost Imaging'] By Sharon Weinberger, Wired, 3 June 2008. Accessed July 2008
* [http://www.arl.army.mil/www/default.cfm/default.cfm?article=2409 Army scientists' 19 patents lead to quantum imaging advances] Army Research Laboratory News DECEMBER 19, 2013. Accessed Feb 2014

⚫
[[Category:Quantum mechanics]]
⚫
[[Category:Photographic techniques]]

Latest revision as of 18:31, 27 March 2024

Ghost imaging (also called "coincidence imaging", "two-photon imaging" or "correlated-photon imaging") is a technique that produces an image of an object by combining information from two light detectors: a conventional, multi-pixel detector that does not view the object, and a single-pixel (bucket) detector that does view the object.[1] Two techniques have been demonstrated. A quantum method uses a source of pairs of entangled photons, each pair shared between the two detectors, while a classical method uses a pair of correlated coherent beams without exploiting entanglement. Both approaches may be understood within the framework of a single theory.[2]

History

[edit]

The first demonstration of ghost imaging, performed by T. B. Pittman, Y. H. Shih, D. V. Strekalov, and A. V. Sergienko in 1995, was based on quantum correlations between entangled photon pairs.[3] One of the photons of the pair strikes the object and then the bucket detector while the other follows a different path to a (multi-pixel) camera. The camera is constructed to only record pixels from entangled photon pairs that hit both the bucket detector and the camera's image plane (as opposed to entangled photon pairs where one hit the image plane but the other does not hit the bucket detector, which are not registered). Then a large number of registered entangled pairs gradually forms a full image.

Later experiments indicated that the correlations between the light beam that hits the camera and the beam that hits the object may be explained by purely classical physics.[4] If quantum correlations are present, the signal-to-noise ratio of the reconstructed image can be improved. In 2009 'pseudothermal ghost imaging' and 'ghost diffraction' were demonstrated by implementing the 'computational ghost-imaging' scheme,[5] which relaxed the need to evoke quantum correlations arguments for the pseudothermal source case.[6]

Recently, it was shown that the principles of 'Compressed-Sensing' can be directly utilized to reduce the number of measurements required for image reconstruction in ghost imaging.[7] This technique allows an N pixel image to be produced with far less than N measurements and may have applications in LIDAR and microscopy.

Advances in military research

[edit]

The U.S. Army Research Laboratory (ARL) developed remote ghost imaging in 2007 with the goal of applying advanced technology to the ground, satellites and unmanned aerial vehicles.[8] Ronald E. Meyers and Keith S. Deacon of ARL, received a patent in 2013 for their quantum imaging technology called, "System and Method for Image Enhancement and Improvement."[9] The researchers received the Army Research and Development Achievement Award for outstanding research in 2009 with the first ghost image of a remote object.[10]

Mechanism

[edit]

A simple example clarifies the basic principle of ghost imaging.[11] Imagine two transparent boxes: one that is empty and one that has an object within it. The back wall of the empty box contains a grid of many pixels (i.e. a camera), while the back wall of the box with the object is a large single-pixel (a bucket detector). Next, shine laser light into a beamsplitter and reflect the two resulting beams such that each passes through the same part of its respective box at the same time. For example, while the first beam passes through the empty box to hit the pixel in the top-left corner at the back of the box, the second beam passes through the filled box to hit the top-left corner of the bucket detector.

Now imagine moving the laser beam around in order to hit each of the pixels at the back of the empty box, meanwhile moving the corresponding beam around the box with the object. While the first light beam will always hit a pixel at the back of the empty box, the second light beam will sometimes be blocked by the object and will not reach the bucket detector. A processor receiving a signal from both light detectors only records a pixel of an image when light hits both detectors at the same time. In this way, a silhouette image can be constructed, even though the light going towards the multi-pixel camera did not touch the object.

In this simple example, the two boxes are illuminated one pixel at a time. However, using quantum correlation between photons from the two beams, the correct image can also be recorded using complex light distributions. Also, the correct image can be recorded using only the single beam passing through a computer-controlled light modulator to a single-pixel detector.[6]

Applications

[edit]

Bessel beam illumination

[edit]

As of 2012, ARL scientists developed a diffraction-free light beam, also called Bessel beam illumination. In a paper published February 10, 2012, the team outlined their feasibility study of virtual ghost imaging using the Bessel beam, to address adverse conditions with limited visibility, such as cloudy water, jungle foliage, or around corners.[10][12] Bessel beams produce concentric-circle patterns. When the beam is blocked or obscured along its trajectory, the original pattern eventually reforms to create a clear picture.[13]

Imaging with very low light levels

[edit]

The spontaneous parametric down-conversion (SPDC) process provides a convenient source of entangled-photon pairs with strong spatial correlations.[14] Such heralded single photons can be used to achieve a high signal-to-noise ratio, virtually eliminating background counts from the recorded images. By applying principles of image compression and associated image reconstruction, high-quality images of objects can be formed from raw data with an average of fewer than one detected photon per image pixel.[15]

Photon-sparse microscopy with infrared light

[edit]

Infrared cameras that combine low-noise with single-photon sensitivity are not readily available. Infrared illumination of a vulnerable target with sparse photons can be combined with a camera counting visible photons through the use of ghost imaging with correlated photons that have significantly different wavelengths, generated by a highly non-degenerate SPDC process. Infrared photons with a wavelength of 1550 nm illuminate the target and are detected by an InGaAs/InP single-photon avalanche diode. The image data are recorded from the coincidently detected, position-correlated, visible photons with a wavelength of 460 nm using a highly efficient, low-noise, photon-counting camera. Light-sensitive biological samples can thereby be imaged.[16]

Remote sensing

[edit]

Ghost imaging is being considered for application in remote-sensing systems as a possible competitor with imaging laser radars (LIDAR). A theoretical performance comparison between a pulsed, computational ghost imager and a pulsed, floodlight-illumination imaging laser radar identified scenarios in which a reflective ghost-imaging system has advantages.[17]

X-ray and electron ghost imaging

[edit]

Ghost-imaging has been demonstrated for a variety of photon science applications. A ghost-imaging experiment for hard x-rays was recently achieved using data obtained at the European Synchrotron.[18] Here, speckled pulses of x-rays from individual electron synchrotron bunches were used to generate a ghost-image basis, enabling proof-of-concept for experimental x-ray ghost imaging. At the same time that this experiment was reported, a Fourier-space variant of x-ray ghost imaging was published.[19] Ghost imaging has also been proposed for X-ray FEL applications.[20] Classical ghost imaging with compressive sensing has also been demonstrated with ultra-relativistic electrons.[21]

References

[edit]
  1. ^ Simon, David S.; Jaeger, Gregg; Sergienko, Alexander V. (2017). "Chapter 6 — Ghost Imaging and Related Topics". Quantum Metrology, Imaging, and Communication. pp. 131–158. doi:10.1007/978-3-319-46551-7_6. ISSN 2364-9054.
  2. ^ Erkmen, Baris I.; Shapiro, Jeffrey H. (2008). "Unified theory of ghost imaging with Gaussian-state light". Physical Review A. 77 (4): 043809. arXiv:0712.3554. Bibcode:2008PhRvA..77d3809E. doi:10.1103/PhysRevA.77.043809. ISSN 1050-2947. S2CID 37972784.
  3. ^ Pittman, T. B.; Shih, Y. H.; Strekalov, D. V.; Sergienko, A. V. (November 1, 1995). "Optical imaging by means of two-photon quantum entanglement". Physical Review A. 52 (5): R3429–R3432. Bibcode:1995PhRvA..52.3429P. doi:10.1103/PhysRevA.52.R3429. ISSN 1050-2947. PMID 9912767.
  4. ^ Gatti, A.; Brambilla, E.; Bache, M.; Lugiato, L. A. (August 26, 2004). "Ghost Imaging with Thermal Light: Comparing Entanglement and Classical Correlation". Physical Review Letters. 93 (9): 093602. arXiv:quant-ph/0307187. Bibcode:2004PhRvL..93i3602G. doi:10.1103/PhysRevLett.93.093602. ISSN 0031-9007. PMID 15447100. S2CID 53345826.
  5. ^ Bromberg, Yaron; Katz, Ori; Silberberg, Yaron (2009). "Ghost imaging with a single detector". Physical Review A. 79 (5): 053840. arXiv:0812.2633. Bibcode:2009PhRvA..79e3840B. doi:10.1103/PhysRevA.79.053840. ISSN 1050-2947. S2CID 118390098.
  6. ^ a b Shapiro, Jeffrey H. (2008). "Computational ghost imaging". Physical Review A. 78 (6): 061802. arXiv:0807.2614. Bibcode:2008PhRvA..78f1802S. doi:10.1103/PhysRevA.78.061802. ISSN 1050-2947. S2CID 10576835.
  7. ^ Katz, Ori; Bromberg, Yaron; Silberberg, Yaron (2009). "Compressive ghost imaging". Applied Physics Letters. 95 (13): 131110. arXiv:0905.0321. Bibcode:2009ApPhL..95m1110K. doi:10.1063/1.3238296. ISSN 0003-6951. S2CID 118516184.
  8. ^ "ARL's 'ghost imaging' cuts through battlefield turbulence -- Defense Systems". Defense Systems. Retrieved July 10, 2018.
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