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Robust Entangled-Photon Ghost Imaging with Compressive Sensing.

Jun Li1, Wenyu Gao2, Jiachuan Qian3

  • 1National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China. junli01@mail.xidian.edu.cn.

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Summary
This summary is machine-generated.

This study improves quantum ghost imaging (GI) by correcting optical device errors and using compressive sensing. The new method enhances image quality and reduces data acquisition time for better performance.

Keywords:
compressive ghost imagingentangled photonsquantum correlation

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Area of Science:

  • Quantum optics
  • Image processing

Background:

  • Quantum ghost imaging (GI) utilizes entangled photons for image reconstruction.
  • Imperfections in optical devices and data acquisition time are limitations in GI.

Purpose of the Study:

  • To enhance the imaging quality of quantum ghost imaging.
  • To reduce data acquisition time using compressive sensing.

Main Methods:

  • Developed a method to handle errors from imperfect optical devices.
  • Formulated image reconstruction as a sparse total least squares problem.
  • Employed an iterative algorithm for image reconstruction.

Main Results:

  • Demonstrated significant improvement in imaging quality.
  • Achieved a reduction in measurements and data acquisition time.
  • Showcased performance gains in mean square error and peak signal-to-noise ratio compared to existing methods.

Conclusions:

  • Proper error handling and compressive sensing significantly improve quantum ghost imaging.
  • The proposed sparse total least squares method offers a robust solution for image reconstruction.