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Underwater Optical Image Processing: a Comprehensive Review

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Abstract

Underwater cameras are widely used to observe the sea floor. They are usually included in autonomous underwater vehicles (AUVs), unmanned underwater vehicles (UUVs), 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 light’s 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 de-scattering, underwater image color restoration, and underwater image quality assessments. Finally, we summarize the future trends and challenges in designing and processing underwater imaging sensors.

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Acknowledgements

This work was supported by JSPS KAKENHI (17K14694), Leading Initiative for Excellent Young Researcher (LEADER) of Ministry of Education, Culture, Sports, Science and Technology-Japan (16809746), Research Fund of Chinese Academy of Sciences (MGE2015KG02), Research Fund of State Key Laboratory of Marine Geology in Tongji University (MGK1608), Research Fund of State Key Laboratory of Ocean Engineering in Shanghai Jiaotong University (1315; 1510), and Research Fund of The Telecommunications Advancement Foundation and Fundamental Research Developing Association for Shipbuilding and Offshore.

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Authors and Affiliations

  1. Kyushu Institute of Technology, 1-1 Sensui, Tobata, Kitakyushu, 804-8550, Japan

    Huimin Lu, Yujie Li, Seiichi Serikawa & Hyoungseop Kim

  2. Chinese Academy of Science, 7 Nanhai Rd., Shinan, Qingdao, 266000, China

    Huimin Lu

  3. Yangzhou University, 198 Huayang West Rd., Hanjiang, Yangzhou, 225127, China

    Yujie Li

  4. Nanjing Normal University, 122 Ninghai Rd., Gulou, Nanjing, 210097, China

    Yudong Zhang

  5. Huazhong University of Science and Technology, 1037 Luoyu Rd., Hongshan, Wuhan, 430074, China

    Min Chen

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  1. Huimin Lu
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  4. Min Chen
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  5. Seiichi Serikawa
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  6. Hyoungseop Kim
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Correspondence to Huimin Lu or Yujie Li.

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Lu, H., Li, Y., Zhang, Y. et al. Underwater Optical Image Processing: a Comprehensive Review. Mobile Netw Appl 22, 1204–1211 (2017). https://doi.org/10.1007/s11036-017-0863-4

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