A noise reduction method for the output signal of a single-photon counting imaging detector

JIA Nan; FU Liping; WANG Tianfang; LI Ruizhi

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A noise reduction method for the output signal of a single-photon counting imaging detector

Optical Signal Processing | 更新时间：2025-09-22

- A noise reduction method for the output signal of a single-photon counting imaging detector
- OPTICAL TECHNIQUE Vol. 51, Issue 5, Pages: 563-570(2025)
- 作者机构：
  
  1.中国科学院国家空间科学中心，北京 100190
  2.中国科学院大学天文与空间科学学院，北京 101407
  3.北京天基空间环境探测重点实验室，北京 100190
  4.空间环境态势感知科技重点实验室，北京 100190
- 作者简介：
- 基金信息：
- DOI：
  CLC： P352.7;
- Received：12 May 2025，
  
  Revised：2025-06-20，
  
  Published：20 September 2025
- 稿件说明：
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贾楠,付利平,王天放等.一种用于单光子计数成像探测器输出信号的降噪方法[J].光学技术,2025,51(05):563-570.

JIA Nan,FU Liping,WANG Tianfang,et al.A noise reduction method for the output signal of a single-photon counting imaging detector[J].OPTICAL TECHNIQUE,2025,51(05):563-570.
贾楠,付利平,王天放等.一种用于单光子计数成像探测器输出信号的降噪方法[J].光学技术,2025,51(05):563-570. DOI：

JIA Nan,FU Liping,WANG Tianfang,et al.A noise reduction method for the output signal of a single-photon counting imaging detector[J].OPTICAL TECHNIQUE,2025,51(05):563-570. DOI：

摘要

针对单光子计数成像探测器输出信号受噪声污染引起探测器的空间分辨下降的问题，文章在传统小波阈值降噪算法的基础上增加了信号预处理环节，进一步提升了探测器的降噪能力。仿真结果表明：该算法的降噪性能相较传统小波阈值降噪算法的降噪性能至少提升了10%；实验测试结果表明：该算法可将探测器的空间分辨率由157μm提升至125μm。仿真测试及实验结果验证了本文提出算法的有效性。

Abstract

To address the issue of degraded spatial resolution in single-photon counting imaging detectors caused by noise-contaminated output signals

an enhanced denoising algorithm that incorporates signal preprocessing into the conventional wavelet threshold denoising method was proposed

thereby improving the detector's noise suppression capability. Simulation results demonstrate that the proposed algorithm achieves at least 10% higher denoising performance compared with traditional wavelet threshold algorithms. Experimental verification shows that the detector's spatial resolution is improved from 157 μm to 125 μm through this method. Both simulation and experimental results confirm the effectiveness of the proposed algorithm.

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