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Preprocessing method for underwater time-gated SPAD-array-based images utilizing Retinex and BM3D.

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Summary

This summary is machine-generated.

This study introduces an improved image processing technique for underwater single-photon imaging. The method enhances image quality by addressing illumination and noise issues, improving clarity for 3D depth mapping.

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Area of Science:

Optical Engineering
Image Processing
Photonics

Background:

Underwater optical imaging suffers from low signal-to-noise ratios and limited range due to light absorption and backscattering.
Existing methods struggle with uneven illumination and complex noise in specialized underwater imaging systems.

Purpose of the Study:

To develop an advanced image preprocessing method for underwater time-gated, single-photon avalanche diode (TG-SPAD)-array images.
To enhance image quality and extend imaging capabilities in challenging underwater environments.

Main Methods:

Applied Retinex theory for image preprocessing and a block-matching and 3D filtering (BM3D) algorithm.
Incorporated rapid illumination correction, time-domain transformation, an adaptive noise-fitted model, and an improved Anscombe transform for denoising.

Main Results:

The proposed method significantly improved subjective visual assessments and objective evaluation metrics compared to existing techniques.
Demonstrated superior performance in enhancing the visual quality of TG-SPAD-array images.

Conclusions:

The developed method effectively addresses illumination and noise challenges in underwater single-photon imaging.
The technique is highly suitable for optimizing high-precision 3D depth map generation in underwater applications.