Reconstruction of high-resolution depth profiling from single-photon data based on PCA

Hui Wang, Su Qiu*, Taoran Lu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The high sensitivity and picosecond temporal resolution of single-photon avalanche diode (SPAD) make it the preferred single-photon detector in extreme imaging environments. Extreme imaging environments (e.g., underwater high-scattering environments) usually result in low signal-to-noise ratios of the acquired single-photon data, which leads to poor quality of image reconstruction, so it is necessary to propose a high-resolution single-photon three-dimensional reconstruction algorithm for extreme imaging environments. Principal component analysis (PCA) is widely used and robust, which is suitable for dimensionality reduction and noise reduction processing of single-photon data with sparse and noisy characteristics. Under the premise that the target data has a strong correlation with the background and random noise, the target feature extraction of the single-photon data is carried out by PCA, the principal components are used to reconstruct the original data, the relative position and size of the original data are effectively retained, the redundant information is removed, and the single-photon data is reconstructed using cross-correlation and ManiPoP algorithms to achieve high-resolution single-photon depth profile reconstruction.

Original languageEnglish
Title of host publicationReal-time Photonic Measurements, Data Management, and Processing VII
EditorsMing Li, Kebin Shi, Hossein Asghari, Nuannuan Shi
PublisherSPIE
ISBN (Electronic)9781510667938
DOIs
Publication statusPublished - 2023
EventReal-time Photonic Measurements, Data Management, and Processing VII 2023 - Beijing, China
Duration: 16 Oct 2023 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12772
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceReal-time Photonic Measurements, Data Management, and Processing VII 2023
Country/TerritoryChina
CityBeijing
Period16/10/23 → …

Keywords

  • 3D reconstruction
  • Imaging processing
  • Principal component analysis
  • Single-photon avalanche diode
  • Single-photon imaging

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