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Experimental Study of Ghost Imaging in Underwater Environment.
Heng Wu1,2, Ziyan Chen1, Chunhua He1,2
1Guangdong Provincial Key Laboratory of Cyber-Physical System, School of Automation, Guangdong University of Technology, Guangzhou 510006, China.
Sensors (Basel, Switzerland)
|November 26, 2022
Summary
Ghost imaging (GI) methods were compared for underwater use. Orthogonal pattern-based compressed sensing GI shows superior anti-noise performance, restoring clear images with fewer measurements.
Area of Science:
- Optics
- Oceanography
- Image Processing
Background:
- Underwater imaging is vital for ocean exploration and management.
- Ghost imaging (GI) offers potential for underwater applications.
- A comprehensive comparison of various GI methods in underwater conditions is lacking.
Purpose of the Study:
- To evaluate and compare the performance of 24 ghost imaging methods in underwater environments.
- To identify optimal GI techniques for underwater object imaging.
- To provide insights for practical underwater GI applications.
Main Methods:
- Categorized 24 GI methods into random and orthogonal illumination pattern types.
- Conducted three-group simulations to assess imaging performance.
- Built an experimental system and performed three-group experiments.
Main Results:
- Orthogonal pattern-based compressed sensing GI methods demonstrated robust anti-noise capabilities.
- These methods successfully restored clear images of underwater objects.
- Effective imaging was achieved even with a low number of measurements.
Conclusions:
- Orthogonal pattern-based compressed sensing GI is highly effective for underwater imaging.
- This technique offers significant advantages in noisy underwater conditions.
- The findings support the practical implementation of GI in oceanographic studies.
