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Infrared Target Reconstruction Under Detector Multiplexing Using Polarization Encoding and Stokes Vector Decoding.

Menghan Bai1,2, Zibo Yu1,2, Guanyu Mu1,2

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

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PubMed
Summary
This summary is machine-generated.

This study introduces a novel polarization-encoded method for wide-field infrared imaging. It effectively resolves spatial aliasing issues in multi-field-of-view systems, improving target localization performance.

Keywords:
computational imagingdetector multiplexinginfrared imagingpolarization encodingstokes vector reconstruction

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Area of Science:

  • Optics and Photonics
  • Infrared Imaging Technology
  • Polarization Optics

Background:

  • Wide-field infrared systems face limitations in detector size and cooling.
  • Current multiplexing techniques suffer from spatial aliasing, degrading performance.
  • Need for efficient spatial information recovery in compact sensing applications.

Purpose of the Study:

  • To propose a polarization-encoded field-of-view (FOV) multiplexing method.
  • To recover spatial information from aliased detector measurements in infrared imaging.
  • To enhance target localization performance in multi-FOV systems.

Main Methods:

  • Dividing the imaging plane into distinct polarization-encoded FOV regions.
  • Superimposing modulated sub-images onto a common detector via optical folding.
  • Reconstructing pixel-wise Stokes vectors and identifying spatial origins using polarization-domain matching and voting.

Main Results:

  • Achieved 97.3% pixel-level classification accuracy under ideal conditions.
  • Maintained over 95% accuracy with noise levels of σ = 0.02.
  • Demonstrated low normalized Stokes reconstruction error (<0.02) and stable performance within ±10° polarization modulation deviations.

Conclusions:

  • Polarization encoding enables efficient separation of multiplexed spatial information.
  • The method avoids increasing detector resources for compact wide-field infrared sensing.
  • Potential for improved performance in constrained infrared imaging applications.