Plug-and-play algorithms for single-pixel imaging

Ye Tian, Ying Fu*, Jun Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 8
  • Captures
    • Readers: 8
see details

Abstract

Single-pixel imaging (SPI) captures images using a photodiode, which has advantages of low cost and high signal-to-noise ratio compared with sensor arrays. When combining with compressed sensing (CS), images can be recovered from fewer measurements in spite of the ill-posed problem. The most commonly used SPI reconstruction algorithms are model-based methods, which usually utilize the hand-crafted prior and limit image quality in the case of under-sampling. In this paper, we propose a novel compressive imaging approach for SPI based on Plug-and-Play (PnP) algorithms. It well employs deep denoiser prior and combines with model-based algorithm advantage. Extensive results on both simulation and real data show that the proposed PnP-based SPI reconstruction method outperforms state-of-the-art SPI algorithms and realizes higher quality image reconstruction.

Original languageEnglish
Article number106970
JournalOptics and Lasers in Engineering
Volume154
DOIs
Publication statusPublished - Jul 2022

Keywords

  • Computational Imaging
  • Image reconstruction
  • Plug-and-Play
  • Single-pixel imaging

Fingerprint

Dive into the research topics of 'Plug-and-play algorithms for single-pixel imaging'. Together they form a unique fingerprint.

Cite this

Tian, Y., Fu, Y., & Zhang, J. (2022). Plug-and-play algorithms for single-pixel imaging. Optics and Lasers in Engineering, 154, Article 106970. https://doi.org/10.1016/j.optlaseng.2022.106970