Computational underwater ghost imaging based on scattering-and-absorption degradation
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces an anti-degradation underwater computational ghost imaging (AUGI) method to combat blurring and distortion. AUGI improves image quality by 10% compared to differential ghost imaging (DGI) in simulations and experiments.
Area Of Science
- Optics
- Computational Imaging
- Oceanography
Background
- Underwater imaging is degraded by scattering and absorption.
- Computational ghost imaging (CGI) is sensitive to these underwater environmental factors.
Purpose Of The Study
- To propose a novel anti-degradation underwater computational ghost imaging (AUGI) method.
- To enhance image reconstruction quality in degraded underwater environments.
Main Methods
- Developed a physical degradation model for underwater forward degradation.
- Implemented the anti-degradation underwater computational ghost imaging (AUGI) method.
- Validated performance using simulations and experimental tests in an artificial submarine environment.
Main Results
- AUGI improved reconstructed image quality by approximately 10% compared to differential ghost imaging (DGI).
- Performance gains were measured using peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).
- Experimental results confirmed the method's effectiveness in simulated underwater conditions.
Conclusions
- The proposed AUGI method effectively mitigates degradation in underwater computational ghost imaging.
- The method demonstrates superior performance and is expected to have broad applications in underwater imaging.
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