High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error Correction

The time-correlated single-photon-counting (TCSPC) three-dimensional (3D) imaging lidar system has broad application prospects in the field of low-light 3D imaging because of its single-photon detection sensitivity and picoseconds temporal resolution. However, conventional TCSPC systems always limit...

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Main Authors: Xiaofang Wang, Tongyi Zhang, Yan Kang, Weiwei Li, Jintao Liang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/10/12/1304
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author Xiaofang Wang
Tongyi Zhang
Yan Kang
Weiwei Li
Jintao Liang
author_facet Xiaofang Wang
Tongyi Zhang
Yan Kang
Weiwei Li
Jintao Liang
author_sort Xiaofang Wang
collection DOAJ
description The time-correlated single-photon-counting (TCSPC) three-dimensional (3D) imaging lidar system has broad application prospects in the field of low-light 3D imaging because of its single-photon detection sensitivity and picoseconds temporal resolution. However, conventional TCSPC systems always limit the echo photon flux to an ultra-low level to obtain high-accuracy depth images, thus needing to spend amounts of acquisition time to accumulate sufficient photon detection events to form a reliable histogram. When the echo photon flux is increased to medium or even high, the data acquisition time can be shortened, but the photon pile-up effect can seriously distort the photon histogram and cause depth errors. To realize high accuracy TCSPC depth imaging with a shorter acquisition time, we propose a high-flux fast photon-counting 3D imaging method based on empirical depth error correction. First, we derive the photon flux estimation formula and calculate the depth error of our photon-counting lidar under different photon fluxes with experimental data. Then, a function correction model between the depth errors and the number of echo photons is established by numerical fitting. Finally, the function correction model is used to correct depth images at high photon flux with different acquisition times. Experimental results show that the empirical error correction method can shorten the image acquisition time by about one order of magnitude while ensuring a moderate accuracy of the depth image.
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spelling doaj.art-5a554a1b19c9481998978fe5d4cc5f912023-12-22T14:32:42ZengMDPI AGPhotonics2304-67322023-11-011012130410.3390/photonics10121304High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error CorrectionXiaofang Wang0Tongyi Zhang1Yan Kang2Weiwei Li3Jintao Liang4State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaState Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaState Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaState Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaState Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, ChinaThe time-correlated single-photon-counting (TCSPC) three-dimensional (3D) imaging lidar system has broad application prospects in the field of low-light 3D imaging because of its single-photon detection sensitivity and picoseconds temporal resolution. However, conventional TCSPC systems always limit the echo photon flux to an ultra-low level to obtain high-accuracy depth images, thus needing to spend amounts of acquisition time to accumulate sufficient photon detection events to form a reliable histogram. When the echo photon flux is increased to medium or even high, the data acquisition time can be shortened, but the photon pile-up effect can seriously distort the photon histogram and cause depth errors. To realize high accuracy TCSPC depth imaging with a shorter acquisition time, we propose a high-flux fast photon-counting 3D imaging method based on empirical depth error correction. First, we derive the photon flux estimation formula and calculate the depth error of our photon-counting lidar under different photon fluxes with experimental data. Then, a function correction model between the depth errors and the number of echo photons is established by numerical fitting. Finally, the function correction model is used to correct depth images at high photon flux with different acquisition times. Experimental results show that the empirical error correction method can shorten the image acquisition time by about one order of magnitude while ensuring a moderate accuracy of the depth image.https://www.mdpi.com/2304-6732/10/12/1304photon countingdepth imagingdepth error correctionhigh-flux
spellingShingle Xiaofang Wang
Tongyi Zhang
Yan Kang
Weiwei Li
Jintao Liang
High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error Correction
Photonics
photon counting
depth imaging
depth error correction
high-flux
title High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error Correction
title_full High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error Correction
title_fullStr High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error Correction
title_full_unstemmed High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error Correction
title_short High-Flux Fast Photon-Counting 3D Imaging Based on Empirical Depth Error Correction
title_sort high flux fast photon counting 3d imaging based on empirical depth error correction
topic photon counting
depth imaging
depth error correction
high-flux
url https://www.mdpi.com/2304-6732/10/12/1304
work_keys_str_mv AT xiaofangwang highfluxfastphotoncounting3dimagingbasedonempiricaldeptherrorcorrection
AT tongyizhang highfluxfastphotoncounting3dimagingbasedonempiricaldeptherrorcorrection
AT yankang highfluxfastphotoncounting3dimagingbasedonempiricaldeptherrorcorrection
AT weiweili highfluxfastphotoncounting3dimagingbasedonempiricaldeptherrorcorrection
AT jintaoliang highfluxfastphotoncounting3dimagingbasedonempiricaldeptherrorcorrection