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Multi-Scale Fusion Underwater Image Enhancement Based on HSV Color Space Equalization
Jialiang Zhang1,2,3, Haibing Su1,2, Tao Zhang1,2
1National Key Laboratory of Optical Field Manipulation Science and Technology, Chinese Academy of Sciences, Chengdu 610209, China.
Sensors (Basel, Switzerland)
|May 14, 2025
Summary
This study enhances underwater images using advanced color correction and multi-scale fusion. The novel method significantly improves image quality, color accuracy, and detail for clearer underwater visuals.
Area of Science:
- Computer Vision
- Image Processing
- Oceanography
Background:
- Underwater imaging faces challenges like color distortion and low contrast due to light absorption and scattering.
- Existing methods struggle to fully restore the visual quality of underwater images.
Purpose of the Study:
- To develop an innovative technique for enhancing underwater image quality.
- To address color distortion, reduced contrast, and lack of detail in underwater scenes.
Main Methods:
- Implemented automatic contrast adjustment and white balance for color correction.
- Utilized HSV color space equalization to improve brightness and saturation.
- Applied Gaussian and Laplacian pyramids for multi-scale feature extraction and fusion.
Main Results:
- Achieved superior performance compared to existing algorithms.
- Demonstrated significant improvements in UCIQE (0.64368) and information entropy (7.8041) metrics.
- Effectively mitigated color bias and enhanced image details, brightness, and saturation.
Conclusions:
- The proposed method offers a robust solution for enhancing underwater image quality.
- Successfully improves visual fidelity, making underwater imagery clearer and more accurate.
