Lensless Three-Dimensional Imaging under Photon-Starved Conditions

In this paper, we propose a lensless three-dimensional (3D) imaging under photon-starved conditions using diffraction grating and computational photon counting method. In conventional 3D imaging with and without the lens, 3D visualization of objects under photon-starved conditions may be difficult d...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2023-02, Vol.23 (4), p.2336
Main Authors: Jang, Jae-Young, Cho, Myungjin
Format: Article
Language:English
Subjects:
Bayesian estimation
Cameras
computational photon counting method
diffraction grating imaging
Gratings (spectra)
Image quality
lensless 3D imaging
Light
maximum likelihood estimation
multiple observation photon counting method
Photons
Random errors
Sidelobes
Three dimensional imaging
Visualization
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Summary:In this paper, we propose a lensless three-dimensional (3D) imaging under photon-starved conditions using diffraction grating and computational photon counting method. In conventional 3D imaging with and without the lens, 3D visualization of objects under photon-starved conditions may be difficult due to lack of photons. To solve this problem, our proposed method uses diffraction grating imaging as lensless 3D imaging and computational photon counting method for 3D visualization of objects under these conditions. In addition, to improve the visual quality of 3D images under severely photon-starved conditions, in this paper, multiple observation photon counting method with advanced statistical estimation such as Bayesian estimation is proposed. Multiple observation photon counting method can estimate the more accurate 3D images by remedying the random errors of photon occurrence because it can increase the samples of photons. To prove the ability of our proposed method, we implement the optical experiments and calculate the peak sidelobe ratio as the performance metric.
ISSN:1424-8220
1424-8220
DOI:10.3390/s23042336