Underwater image processing and analysis: a review

Muwei Jian, Xiangyu Liu, Hanjiang Luo, Xiangwei Lu, Hui Yu, Junyu Dong

Research output: Contribution to journalArticlepeer-review

Abstract

With increasing attentions being drawn to the underwater observation and utilization of marine resources in recent years, underwater image processing and analysis have become an active research hotspot. Different from the general images, marine environment is usually faced with some complicated situations such as underwater turbulence and diffusion, severe absorption and scattering of water body, various noises, low contrast, uniform illumination, monotonous colour, complex underwater-background. In response to these typical challenges, a large body of works in underwater image processing has been exploited in recent years. This survey introduces a review of existing relatively mature and representative underwater image processing models, which are classified into seven categories including enhancement, fog removal, noise reduction, segmentation, salient object detection, colour constancy and restoration. We then objectively evaluate the current situations and future development trend of underwater image processing, and provide some insights into the prospective research directions to promote the development of underwater vision and beyond.
Original languageEnglish
Article number116088
Number of pages8
JournalSignal Processing: Image Communication
Volume91
Early online date1 Dec 2020
DOIs
Publication statusPublished - 1 Feb 2021

Keywords

  • underwater image
  • marine environment
  • underwater saliency detection
  • color constancy

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