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A Recent Review of Underwater Image Enhancement Techniques

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Proceedings of Fourth Doctoral Symposium on Computational Intelligence (DoSCI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 726))

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Abstract

The deep oceans are home to undiscovered organisms and immense energy reserves, and they play a crucial role in the survival of life on Earth, for developing medicinal treatments, food and energy resources, and renewable energy products. The last ten years have seen a substantial increase in research on underwater image processing. This is largely due to humans' reliance on the precious resources found undersea. Exploration of the underwater world may be made more effective by having good technology for underwater image enhancement. In this paper, a review of underwater image-enhancing methods is proposed. The protocol of this review focuses on selected underwater image enhancement (UIE) articles which indexed in Scopus from 2020 to 2022. This article provides a comprehensive overview of different underwater image enhancement methods. Also, it is summarized in terms of the number of documents per year, UIE-based top authors, and top countries. Then, this review summarized the previous works of underwater image enhancement techniques, including the database, software used, method, and metrics used for each technique.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Education, University of Kufa, Najaf, Iraq

    Rana Ghalib

  2. Information Technology Research and Development Center (ITRDC), University of Kufa, Najaf, Iraq

    Zaid Abdi Alkareem Alyasseri

  3. College of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq

    Zaid Abdi Alkareem Alyasseri

Authors
  1. Rana Ghalib
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  2. Zaid Abdi Alkareem Alyasseri
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Corresponding author

Correspondence to Zaid Abdi Alkareem Alyasseri .

Editor information

Editors and Affiliations

  1. Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India

    Abhishek Swaroop

  2. Dr. APJ Abdul Kalam Technical University, Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India

    Vineet Kansal

  3. Department of Informatics, Modeling, Electronics and Systems, University of Calabria, Rende (CS), Italy

    Giancarlo Fortino

  4. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Ghalib, R., Alyasseri, Z.A.A. (2023). A Recent Review of Underwater Image Enhancement Techniques. In: Swaroop, A., Kansal, V., Fortino, G., Hassanien, A.E. (eds) Proceedings of Fourth Doctoral Symposium on Computational Intelligence . DoSCI 2023. Lecture Notes in Networks and Systems, vol 726. Springer, Singapore. https://doi.org/10.1007/978-981-99-3716-5_43

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