Abstract
In the last decade, the number of underwater image processing research has increased significantly. This is primarily due to society's dependency on the precious resources found underwater and to protect the underwater environment. Unlike regular imaging in a normal environment, underwater images suffer from low visibility, blurriness, color casts, etc. due to light scattering, turbidity, darkness, and wavelength of light. For effective underwater exploration, excellent approaches are necessary. This review study discusses the survey of “underwater image enhancement and object detection” methods. These methods are outlined briefly with the available dataset and evaluation metrics used for underwater image enhancement. A wide range of domain applications is also highlighted.
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Chandni, Vats, A., Patnaik, T. (2023). A Systematic Review on Underwater Image Enhancement and Object Detection Methods. In: Noor, A., Saroha, K., Pricop, E., Sen, A., Trivedi, G. (eds) Proceedings of Emerging Trends and Technologies on Intelligent Systems. Advances in Intelligent Systems and Computing, vol 1414. Springer, Singapore. https://doi.org/10.1007/978-981-19-4182-5_29
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DOI: https://doi.org/10.1007/978-981-19-4182-5_29
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