Multiple CR Spatiotemporal Compressive Imaging System

Xiaowen Hao, Dingaoyu Zhao, Jun Ke*

*Corresponding author for this work

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Abstract

Higher spatial and temporal resolutions are two important performance parameters in an imaging system. However, due to hardware limitations, the two resolutions are usually mutually restricted. To meet this challenge, we propose a spatiotemporal compressive imaging (STCI) system to reconstruct high-spatiotemporal-resolution images from low-resolution measurements. For STCI, we also designed a novel reconstruction network for multiple compression ratio (CR). To verify the effectiveness of our method, we implemented simulation and optical experiments, respectively. The experiment results show that our method can effectively reconstruct high-spatiotemporal-resolution target scenes for nine different CRs. With the maximum spatiotemporal CR of 128:1, our method can achieve a reconstruction accuracy of 28.28 dB.

Original languageEnglish
Article number1334
JournalSensors
Volume25
Issue number5
DOIs
Publication statusPublished - Mar 2025

Keywords

  • computational imaging
  • high-speed high-resolution imaging
  • spatiotemporal compressive imaging

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Hao, X., Zhao, D., & Ke, J. (2025). Multiple CR Spatiotemporal Compressive Imaging System. Sensors, 25(5), Article 1334. https://doi.org/10.3390/s25051334