Ompressive imaging system based on parallel visible light focal plane

Yao Ouyang, Jing Chen

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the compressed sensing theory, a compressive imaging system with parallel visible light focal plane is proposed. The system reconstructs the original image based on block compressed sensing imaging. Due to the use of a panel detector, every small block of the image is sampled at the same time. In the part of the imaging experiment, 0, 1 binary Bernoulli measurement matrices are served as the measurement matrices to reconstruct different target images. Experimental results show that the method of parallel blocked-based compressive imaging system not only decreases the number of sampling, but also aviods a great deal of memory space and calculation because of the excessive measurement matrices. And the proposed imaging system is suitable for high resolution image reconstruction.

Original languageEnglish
Article number021102
JournalLaser and Optoelectronics Progress
Volume54
Issue number2
DOIs
Publication statusPublished - 2021

Keywords

  • Compressive sensing
  • Computational imaging
  • High resolution imaging
  • Imaging systems

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