Ghost imaging through abruptly changing complex scattering in dynamic media.

Area of Science:

• Optics and Photonics
• Computational Imaging
• Signal Processing

Background:

• Ghost imaging (GI) faces significant challenges in harsh environments, particularly with dynamic and complex scattering media.
• Distorted light intensities from nonlinear scaling factors impede accurate ghost reconstruction.

Purpose of the Study:

• To propose a novel method for correcting signal distortions in ghost imaging under dynamic scattering conditions.
• To enhance the robustness and accuracy of ghost imaging in challenging environments.

Main Methods:

• Development of a convolution-based polynomial estimation technique.
• Correction of mismatches between illumination patterns and detected signals.
• Validation through numerical simulations and optical experiments.

Main Results:

• The proposed method effectively corrects distorted intensity measurements in ghost imaging.
• High-resolution ghost reconstruction is consistently achieved despite abrupt scattering changes.
• The influence of dynamic scattering on ghost imaging is significantly suppressed.

Conclusions:

• The convolution-based polynomial estimation method offers a robust solution for ghost imaging in harsh environments.
• This technique enables reliable object information retrieval through complex dynamic scattering media.
• The method advances the applicability of ghost imaging in challenging real-world scenarios.