• Laser & Optoelectronics Progress
  • Vol. 59, Issue 2, 0200001 (2022)
Sun Mingjie*, Yan Songming, and Wang Siyuan
Author Affiliations
  • School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China
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    DOI: 10.3788/LOP202259.0200001 Cite this Article
    Mingjie Sun, Songming Yan, Siyuan Wang. Reconstruction Algorithms for Ghost Imaging and Single-Pixel Imaging[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0200001 Copy Citation Text show less

    Abstract

    Ghost imaging and single-pixel imaging originate from different physical concepts. They have been closely integrated and developed together due to many similarities they share in the system schemes and image reconstruction algorithms. As typical computational imaging technologies, these two imaging schemes have received extensive attention in the fields of optics, imaging, and information acquisition. Different from traditional area array imaging, ghost imaging and single-pixel imaging obtain images by using the reconstruction algorithms, which is one important feature of computational imaging. In this paper, the history of ghost imaging and single-pixel imaging is briefly reviewed with a focus on typical image reconstruction algorithms. The principles of ghost imaging and single-pixel imaging using light field second-order correlation, sampling theory, compressed sensing, and machine learning are explained. Their application potential and prospects are discussed.