Long-distance mid-wave infrared super-resolution compressive imaging

Xiao Peng Jin, An Dong Xiong, Xiao Qing Wang, Xu Ri Yao, Xue Feng Liu*, Qing Zhao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Super-resolution imaging (SRI) for mid-wave infrared (MWIR) has attracted increasing attention in recent years due to the expensive price for a large number of pixels MWIR cameras. Investigation of the compressed sensing method can partially improves the resolution. However, the quality of SRI is highly related to the transfer function matrix of the optical system, which is difficult to be accurately measured because of the noise existed in MWIR detection, especially in long-distance systems. In this work, we propose a transfer function matrix calculation method which overcomes the issues of low imaging contrast and signal-to-noise ratio compared with previous studies. And we further establish a long-distance focal plane array-based compressive imaging system with a resolution of two digital micro-mirror device pixels which just satisfies the system diffraction limit. In addition, we achieve the 4 × 4 times super-resolution high-quality reconstruction of long-distance digital and physical objects with only six measurements.

Original languageEnglish
Article number108740
JournalOptics and Laser Technology
Volume157
DOIs
Publication statusPublished - Jan 2023

Keywords

  • Compressive imaging
  • Long distance
  • Mid-wave infrared
  • Super resolution
  • Transfer function matrix

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