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Passive compressive ghost imaging with low rank clustering
Modern Applied Optics | 更新时间：2024-01-13

    • Passive compressive ghost imaging with low rank clustering

    • “To achieve high-quality ghost imaging at low sampling rates, researchers have proposed the PCGI-LRC algorithm, which effectively improves the quality of image reconstruction.”
    • Optics and Precision Engineering   Vol. 32, Issue 1, Pages: 12-23(2024)

    • DOI：10.37188/OPE.20243201.0012    

      CLC： O431.2

    • Received：26 June 2023，

      Revised：22 August 2023，

      Published：10 January 2024

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  • LEI Teng,ZHANG Yiming,MA Yizhe,et al.Passive compressive ghost imaging with low rank clustering[J].Optics and Precision Engineering,2024,32(01):12-23. DOI： 10.37188/OPE.20243201.0012.

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