Photon-efficient imaging with a single-photon camera

Shin, Dongeek; Xu, Feihu; Venkatraman, Dheera; Lussana, Rudi; Villa, Federica; Zappa, Franco; Goyal, Vivek K; Wong, Franco N. C.; Shapiro, Jeffrey H.

doi:10.1038/ncomms12046

Cited by 227 publications

(137 citation statements)

References 33 publications

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“…Another challenge in long range condition is the exceedingly weak echo signal. Recently, to deal with such extremely low-light levels, some photon-efficient algorithms were proposed [12][13][14][15][16]. However, most of them were only tested in the laboratory at a short distance.…”

Section: Photon-efficient Sub-pixel Scanning Approachmentioning

confidence: 99%

“…Furthermore, computational imaging algorithms have seen remarkable progress to process the single-photon data efficiently [11]. High-quality 3D structure has been demonstrated in the laboratory environment by an active imager detecting only one photon per pixel (PPP), based on the approaches of first-photon imaging [12], pseudo-array [13,14], single-photon camera [15], unmixing signal/noise [16] and machine learning [17]. These algorithms have the potential to improve the imaging range and quality significantly.…”

Section: Introductionmentioning

confidence: 99%

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Super-resolution single-photon imaging at 8.2 kilometers

et al. 2020

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Single-photon light detection and ranging (LiDAR), offering single-photon sensitivity and picosecond time resolution, has been widely adopted for active imaging applications. Longrange active imaging is a great challenge, because the spatial resolution degrades significantly with the imaging range due to the diffraction limit of the optics, and only weak echo signal photons can return but mixed with a strong background noise. Here we propose and demonstrate a photon-efficient LiDAR approach that can achieve sub-Rayleigh resolution imaging over long ranges. This approach exploits fine sub-pixel scanning and a deconvolution algorithm tailored to this long-range application. Using this approach, we experimentally demonstrated active three-dimensional (3D) single-photon imaging by recognizing different postures of a mannequin model at a stand-off distance of 8.2 km in both daylight and night. The observed spatial (transversal) resolution is ∼5.5 cm at 8.2 km, which is about twice of the system's resolution. This also beats the optical system's Rayleigh criterion. The results are valuable for geosciences and target recognition over long ranges.

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Section: Photon-efficient Sub-pixel Scanning Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Super-resolution single-photon imaging at 8.2 kilometers

et al. 2020

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“…This led to the measurement of images with on average, less than one photon per image pixel . Similar algorithms have been already applied for photon‐efficient classical imaging . However, as has been discussed before, the SNR of the measured data can be inherently better for quantum imaging schemes based on correlation measurements, especially for low photon numbers.…”

Section: Quantum Imaging Device Developmentmentioning

confidence: 99%

Perspectives for Applications of Quantum Imaging

Basset

Setzpfandt

Steinlechner

et al. 2019

Laser & Photonics Reviews

127

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Quantum imaging is a multifaceted field of research that promises highly efficient imaging in extreme spectral ranges as well as ultralow‐light microscopy. Since the first proof‐of‐concept experiments over 30 years ago, the field has evolved from highly fascinating academic research to the verge of demonstrating practical technological enhancements in imaging and microscopy. Here, the aim is to give researchers from outside the quantum optical community, in particular those applying imaging technology, an overview of several promising quantum imaging approaches and evaluate both the quantum benefit and the prospects for practical usage in the near future. Several use case scenarios are discussed and a careful analysis of related technology requirements and necessary developments toward practical and commercial application is provided.

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“…High resolution ghost imaging [14] is possible when compressive sensing is employed [15]. Computational ghost imaging [16] shows great potential in single-pixel camera [17][18][19]. Ghost imaging with X-ray and atoms were also reported [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Studying fermionic ghost imaging with independent photons

Liu¹,

Zheng²,

Chen³

et al. 2016

Opt. Express

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Ghost imaging with thermal fermions is calculated based on two-particle interference in Feynman's path integral theory. It is found that ghost imaging with thermal fermions can be simulated by ghost imaging with thermal bosons and classical particles. Photons in pseudothermal light are employed to experimentally study fermionic ghost imaging. Ghost imaging with thermal bosons and fermions is discussed based on the point-to-point (spot) correlation between the object and image planes. The employed method offers an efficient guidance for future ghost imaging with real thermal fermions, which may also be generalized to study other second-order interference phenomena with fermions.

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Photon-efficient imaging with a single-photon camera

Cited by 227 publications

References 33 publications

Super-resolution single-photon imaging at 8.2 kilometers

Super-resolution single-photon imaging at 8.2 kilometers

Perspectives for Applications of Quantum Imaging

Studying fermionic ghost imaging with independent photons

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