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2018 | OriginalPaper | Buchkapitel

Current Trends and Prospects of Underwater Image Processing

verfasst von : Jinjing Ji, Yujie Li, Yun Li

Erschienen in: Artificial Intelligence and Robotics

Verlag: Springer International Publishing

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Abstract

In view of the consumption and distribution of resources in the world, the necessity of deep-sea mining video image processing is illustrated. Based on a large number of relevant literatures, this paper summarizes the research status of image processing methods for deep-sea mining observation video system, introduces the advantages of the improved median filter algorithm, the improved dark channel prior algorithm and the improved nonlocal mean denoising method. Some problems of the original methods are analyzed. These aim to provide reference for the optimization and improvement of image processing methods for deep-sea mining video observation.

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Titel: Current Trends and Prospects of Underwater Image Processing
verfasst von: Jinjing Ji
Yujie Li
Yun Li
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Robotics
Print ISBN: 978-3-319-69876-2

Electronic ISBN: 978-3-319-69877-9

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-69877-9_24

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