First-Photon Imaging Using a Data Preprocessing Method Based on Multiscale Image Segmentation

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-06-02 DOI:10.1109/JSEN.2025.3573438

Mingjie Sun;Yuchen Du;Jiaxin Wang;Xinyu Zhao;Labao Zhang

引用次数: 0

Abstract

First-photon imaging is a photon-efficient computational imaging technique that reconstructs an image by recording only the first-photon arrival event at each spatial location and then optimizing the recorded photon information. This computational imaging method maximizes the advantages of less-photon imaging, but in practice, it is hard to obtain high-quality reconstructed images due to the extremely low signal-to-noise ratio (SNR). To address this problem, we propose a data processing method to remove the noise and improve the accuracy of first-photon signal selection. Using this method, we conducted a 10 km first-photon imaging experiment in an urban environment and reduced the root-mean-square error (RMSE) value of the first photon 3-D reconstructed image by more than 50% compared with the conventional data processing method. We believe that this method offers a novel approach for accurately extracting signal photons under extremely weak detection conditions.

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基于多尺度图像分割的第一光子成像数据预处理方法

第一光子成像是一种光子高效的计算成像技术，它只记录每个空间位置的第一光子到达事件，然后优化记录的光子信息来重建图像。这种计算成像方法最大限度地发挥了少光子成像的优势，但在实际应用中，由于信噪比极低，难以获得高质量的重建图像。为了解决这一问题，我们提出了一种数据处理方法来去除噪声，提高第一光子信号选择的精度。利用该方法在城市环境下进行了10 km首光子成像实验，与传统数据处理方法相比，首光子三维重建图像的均方根误差（RMSE）降低了50%以上。我们相信这种方法为在极弱的检测条件下精确提取信号光子提供了一种新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice