Underwater image processing and analysis: A review
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 situ...
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| Published in | Signal processing. Image communication Vol. 91; p. 116088 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.02.2021
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0923-5965 1879-2677 |
| DOI | 10.1016/j.image.2020.116088 |
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| 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 color, 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, color 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.
•This survey introduces a review of existing representative underwater image processing models.•Future development trend of underwater image processing is introduced.•Some insights into the prospective research directions to promote the development of underwater vision are provided. |
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| AbstractList | 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 color, 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, color 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.
•This survey introduces a review of existing representative underwater image processing models.•Future development trend of underwater image processing is introduced.•Some insights into the prospective research directions to promote the development of underwater vision are provided. |
| ArticleNumber | 116088 |
| Author | Jian, Muwei Dong, Junyu Yu, Hui Luo, Hanjiang Lu, Xiangwei Liu, Xiangyu |
| Author_xml | – sequence: 1 givenname: Muwei surname: Jian fullname: Jian, Muwei email: jianmuweihk@163.com organization: School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China – sequence: 2 givenname: Xiangyu surname: Liu fullname: Liu, Xiangyu organization: School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China – sequence: 3 givenname: Hanjiang surname: Luo fullname: Luo, Hanjiang organization: School of Computer Science and Technology, Shandong University of Science and Technology, Qingdao, China – sequence: 4 givenname: Xiangwei surname: Lu fullname: Lu, Xiangwei organization: School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China – sequence: 5 givenname: Hui orcidid: 0000-0002-7655-9228 surname: Yu fullname: Yu, Hui email: hui.yu@port.ac.uk organization: School of Creative Technologies, University of Portsmouth, Portsmouth, UK – sequence: 6 givenname: Junyu surname: Dong fullname: Dong, Junyu organization: Department of Computer Science and Technology, Ocean University of China, Qingdao, China |
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| Keywords | Marine environment Underwater saliency detection Underwater image Color constancy |
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