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Two-Stage Training Method for High-Quality Reconstruction in Single-Pixel Imaging

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【作者】 邵辉黄何魏宇霄张会娟杨照华余远金

【Author】 Hui Shao;He Huang;Yu-Xiao Wei;Hui-Juan Zhang;Zhao-Hua Yang;Yuan-Jin Yu;College of Information Science and Engineering, Huaqiao University;School of Automation, Beijing Institute of Technology;School of Instrumentation and Optoelectronics Engineering, Beihang University;

【通讯作者】 余远金;

【机构】 College of Information Science and Engineering, Huaqiao UniversitySchool of Automation, Beijing Institute of TechnologySchool of Instrumentation and Optoelectronics Engineering, Beihang University

【摘要】 <正>A two-stage training method is proposed to enhance imaging quality and reduce reconstruction time in datadriven single-pixel imaging(SPI) under undersampling conditions. This approach leverages a deep learning algorithm to simulate single-pixel detection and image reconstruction. During the initial training stage,

【关键词】 ReconstructionpixelTraining
  • 【文献出处】 Chinese Physics Letters ,中国物理快报(英文版) , 编辑部邮箱 ,2024年12期
  • 【分类号】TP391.41
  • 【下载频次】3
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