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Related Experiment Video

Updated: Aug 4, 2025

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
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Underwater image enhancement based on zero-shot learning and level adjustment.

Qiang Xie1, Xiujing Gao2, Zhen Liu1

  • 1School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, Fujian 361024 China.

Heliyon
|April 7, 2023
PubMed
Summary

This study introduces a novel two-step method for enhancing underwater images by using zero-shot dehazing and level adjustment. The technique effectively removes haze, corrects colors, and improves image quality for clearer underwater visuals.

Keywords:
Color correctionImage dehazingUnderwater image enhancementUnsupervised learning

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Area of Science:

  • Computer Vision
  • Image Processing
  • Underwater Imaging

Background:

  • Underwater images suffer from low contrast, color attenuation, and blurring due to light scattering and absorption.
  • Existing methods often struggle to fully restore visual quality in challenging underwater conditions.

Purpose of the Study:

  • To develop and evaluate a novel two-step method for enhancing the visual quality of underwater images.
  • To address common issues like haze, color deviation, and low illumination in underwater photography.

Main Methods:

  • A two-step approach combining "zero-shot" dehazing with an improved level adjustment and auto-contrast technique.
  • Utilizing a dehazing network for initial haze removal followed by contrast and color correction.

Main Results:

  • Qualitative assessment shows effective haze removal, color correction, and preservation of natural image appearance.
  • Quantitative evaluation demonstrates superior performance over state-of-the-art methods in peak signal-to-noise ratio and structural similarity.
  • Achieved high mean Underwater Color Image Quality Evaluation (UCIQE) index values of 0.58 and 0.53 on two datasets.

Conclusions:

  • The proposed method significantly enhances underwater image quality, outperforming existing techniques.
  • The combined dehazing and level adjustment approach is efficient for restoring clarity and color fidelity in underwater visuals.