Underwater Optical Image Processing: A Comprehensive Review
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Abstract (arXiv)
Underwater cameras are widely used to observe the sea floor. They are usually included in autonomous underwater vehicles, unmanned underwater vehicles, and in situ ocean sensor networks. Despite being an important sensor for monitoring underwater scenes, there exist many issues with recent underwater camera sensors. Because of lights transportation characteristics in water and the biological activity at the sea floor, the acquired underwater images often suffer from scatters and large amounts of noise. Over the last five years, many methods have been proposed to overcome traditional underwater imaging problems. This paper aims to review the state-of-the-art techniques in underwater image processing by highlighting the contributions and challenges presented in over 40 papers. We present an overview of various underwater image processing approaches, such as underwater image descattering, underwater image color restoration, and underwater image quality assessments. Finally, we summarize the future trends and challenges in designing and processing underwater imaging sensors.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Feb 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1; 2025: 3.
7 papers.
- 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
- 2025The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detectioncited by 2
- 2023Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarioscited by 1
- 2024FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimationcited by 1
- 2025An Adaptive Underwater Image Enhancement Framework via Multi-Domain Fusion and Color Compensationcited by 1
- 2025Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancementcited by 1
- 2021A deep neural network for multi-species fish detection using multiple acoustic camerascited by 0
- 2025Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement26 May 2025
- 2025An Adaptive Underwater Image Enhancement Framework via Multi-Domain Fusion and Color Compensation5 Mar 2025
- 2025The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detection28 Feb 2025
- 2024FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation25 Sep 2024
- 2023Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios7 Jul 2023
- 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation27 Jun 2023
- 2021A deep neural network for multi-species fish detection using multiple acoustic cameras22 Sep 2021