| 单光子成像技术研究进展综述 |
| Research Progress Review on Single-Photon Imaging Technology |
| 投稿时间：2025-04-03 修订日期：2025-05-19 |
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| 中文摘要: |
| 单光子成像技术近年来在三维成像领域取得显著进展。作为该技术的核心方向,光子计数成像凭借高灵敏度、高时间分辨率与高光子利用率的特性,已成为激光雷达领域的前沿研究方向之一。本文系统阐述了光子计数成像的基本原理与技术特征,重点分析了当前制约技术发展的两大关键问题——图像重建算法优化与硬件系统集成。通过对典型硬件架构的性能对比及主流重建算法的系统梳理,揭示了算法-硬件协同优化对提升成像质量的核心作用,并进一步探讨了该技术向高集成度、智能化方向发展的可行路径。 |
| 英文摘要: |
| Single-photon imaging technology has achieved remarkable advancements in three-dimensional imaging. As a core direction in this field, photon-counting imaging has emerged as a frontier research focus on lidar systems, owing to its high sensitivity, superior temporal resolution, and exceptional photon utilization efficiency. This paper comprehensively elucidates the fundamental principles and technical features of photon-counting imaging, while placing particular emphasis on analyzing two critical challenges hindering its advancement: the optimization of image reconstruction algorithms and the integration of hardware systems. Through performance comparisons of typical hardware architectures and a systematic evaluation of mainstream reconstruction algorithms, this study demonstrates the pivotal role of algorithm-hardware co-optimization in enhancing imaging quality. Furthermore, it explores viable pathways for advancing this technology toward high integration and intelligent implementation. |
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| 中文关键词: 单光子成像 计算成像 机器学习 三维重建 |
| 英文关键词:Single-photon imaging Computational imaging Machine learning: three-dimensional reconstruction |
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