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Super-resolution Imaging of the Bacterial Division Machinery
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Illumination Temporal Fluctuation Suppression for Single-Pixel Imaging.

Han Wang1, Mingjie Sun1, Lailiang Song1

  • 1School of Instrumentation Science and Optoelectronic Engineering, Beihang University, Beijing 100191, China.

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|February 11, 2023
PubMed
Summary
This summary is machine-generated.

Single-pixel cameras can now achieve higher image quality. A new normalization protocol reduces noise caused by illumination fluctuations, improving reconstructed image consistency without extra hardware.

Keywords:
Hadamard matrixdifferentialillumination fluctuationnormalizationsingle-pixel imaging

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Area of Science:

  • Optics and Photonics
  • Image Reconstruction
  • Computational Imaging

Background:

  • Single-pixel cameras offer advantages in non-visible imaging over traditional digital cameras.
  • Reconstructed image quality from single-pixel imaging often lags behind conventional methods.
  • Temporal fluctuations in illumination during measurement introduce noise in reconstructed images.

Purpose of the Study:

  • To introduce a novel normalization protocol for single-pixel imaging.
  • To mitigate image noise caused by temporal illumination fluctuations.
  • To enhance the quality of reconstructed images without additional hardware.

Main Methods:

  • A normalization protocol using differential measurements was developed.
  • Numerical simulations were conducted to analyze illumination fluctuation effects.
  • Practical experiments validated the protocol's feasibility and performance.

Main Results:

  • The proposed normalization protocol effectively reduces noise from temporal illumination fluctuations.
  • The protocol demonstrated comparable performance to systems with a reference arm.
  • Image quality improvements were observed under varying degrees of temporal fluctuation.

Conclusions:

  • The developed normalization protocol significantly enhances single-pixel imaging quality.
  • This method offers a straightforward solution for improving temporal-sequence imaging strategies.
  • The protocol is hardware-independent and easily applicable to existing systems.