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Related Experiment Video

Updated: Sep 5, 2025

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Lossy and noisy channel simulation in computational ghost imaging by using noise-induced pattern.

Jaesung Heo¹, Junghyun Kim¹, Taek Jeong¹

¹Agency for Defense Development, Daejeon, 34186, South Korea.

Scientific Reports

|July 13, 2022

Summary

This study introduces a new method to assess noise in computational ghost imaging (CGI). The technique effectively filters out noise comparable to the imaging signal, matching experimental results without needing a physical noise source.

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Area of Science:

Optics and Photonics
Computational Imaging
Signal Processing

Background:

Computational ghost imaging (CGI) is sensitive to optical channel impairments.
Evaluating the impact of noise in CGI typically requires complex experimental setups.

Purpose of the Study:

To develop a simulation-based method for evaluating the effects of lossy and noisy optical channels in CGI.
To demonstrate CGI's capability to reject noise with intensity similar to the imaging signal.

Main Methods:

Simulating a noisy optical channel using programmatically generated noise-induced patterns within a basic CGI experiment.
Comparing simulation results with experimental data obtained using an external noise source.

Main Results:

The proposed method accurately evaluates the impact of simulated noisy optical channels on CGI performance.
CGI demonstrated the ability to reject noise when its intensity was comparable to the imaging signal.
Simulation results closely matched experimental findings.

Conclusions:

The developed method provides a practical approach to analyze environmental effects on CGI without physical replication.
This technique offers valuable insights for optimizing CGI systems in noisy environments.