2021
DOI: 10.1002/lpor.202100189
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Mid‐Infrared Single‐Photon Edge Enhanced Imaging Based on Nonlinear Vortex Filtering

Abstract: Edge enhanced imaging via the spiral phase contrast enables to reveal the phase or amplitude gradients of a target, which has been proved useful in feature recognition, machine vision, and object identification. A long quest is to extend the operation wavelength into the mid‐infrared (MIR) region, as highly demanded in various fields including infrared sensing, astronomic observation, and biomedical diagnosis. Here, ultra‐sensitive MIR imaging at the single‐photon level based on nonlinear frequency upconversio… Show more

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Cited by 36 publications
(17 citation statements)
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“…The frequency-upconversion detection provides an effective way to realize the MIR single-photon imaging, as manifested in the infrared upconversion imaging systems based on coherent frequency conversion 42,47,48 or quantum spectral correlation 50,51 , which typically needs a FPA based on electron multiplying charge-coupled devices (EMCCDs). In comparison, the proposed single-pixel scheme offers advantages of single-pixel simplicity and low cost by using a silicon avalanche photodiode at room temperature.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The frequency-upconversion detection provides an effective way to realize the MIR single-photon imaging, as manifested in the infrared upconversion imaging systems based on coherent frequency conversion 42,47,48 or quantum spectral correlation 50,51 , which typically needs a FPA based on electron multiplying charge-coupled devices (EMCCDs). In comparison, the proposed single-pixel scheme offers advantages of single-pixel simplicity and low cost by using a silicon avalanche photodiode at room temperature.…”
Section: Discussionmentioning
confidence: 99%
“…The involved angular frequencies for the signal, pump and SFG fields satisfy the energy conservation as ω up = ω s + ω p . In practice, the conversion efficiency is usually optimized at the phase-matching condition with Δk z = 0, the SFG intensity is thus simply related to the inner product of the signal and pump intensities, as given by I up (x, y) ∝ I s (x, y) × I p (x, y) 41,42 . Such a relation indicates that the pump intensity pattern serves as a spatial transmission mask onto the MIR object image, and the mask filtered pattern is directly linked to the intensity profile of the upconverted field.…”
Section: Basic Principlesmentioning
confidence: 99%
“…Among these imaging methods, the recently demonstrated optical spatial differentiation shows great advantages owing to its two-dimensional (2D) isotropic edgeenhancement, relatively compact optical configuration, [13] and broad operation band ranging from the visible to the mid-infrared. [2][3][4][5][6][7][8][9][10][11][12][13][14][15] Optical spatial differentiation is one of the optical analog signal processing technologies, which is high-speed and low-power consumption with respect to its digital counterparts. In 2017, Zhu et.…”
Section: Introductionmentioning
confidence: 99%
“…Among these imaging methods, the recently demonstrated optical spatial differentiation shows great advantages owing to its two‐dimensional (2D) isotropic edge‐enhancement, relatively compact optical configuration, [ 13 ] and broad operation band ranging from the visible to the mid‐infrared. [ 2–15 ]…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, visible detectors have much lower noise and high sensitivity without the need for cryogenic cooling. Instead of the direct IR imaging, the parametric frequency upconversion imaging [23][24][25] plays a critical role for hyper-spectral IR imaging, where the IR signal is frequency upconverted into visible wavelength [20,[26][27][28][29] and detected by a silicon-based detector or camera with high sensitivity and low noise. Many unique nonlinear optical systems have also been developed for 2D imaging, such as noise-less optical parametric amplification imaging [30,31], non-degenerate two-photon absorption [32][33][34], spontaneous parametric down conversion imaging [35,36].…”
Section: Introductionmentioning
confidence: 99%