Results in Physics (Nov 2023)

Feeble-light ghost imaging via correlation calculation

  • Wei Tan,
  • Yanfeng Bai,
  • Xianwei Huang,
  • Xiaohui Zhu,
  • Teng Jiang,
  • Xuanpengfan Zou,
  • Suqin Nan,
  • Mingwei Liu,
  • Xiquan Fu

Journal volume & issue
Vol. 54
p. 107094

Abstract

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Noise is a significant factor affecting imaging quality because it seriously reduces the detection signal-to-noise ratio (SNR), especially in feeble-light detection. In this paper, we propose a practical method to separate signal from noise background in ghost imaging (GI) systems based on correlation calculation. Experiments have shown that this method can significantly increase the SNR of the reconstructed images. Our research provides a novel method for suppressing noise influence on feeble-light GI, which has valuable reference value in biomedicine and remote sensing.

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