Algorithms for improving the quality of underwater optical images: A comprehensive review
Authors:
- Xuecheng ShuangXSXuecheng Shuang
- Jin ZhangJZJin Zhang
- Yu TianYTYu Tian
- 30 January 2024
- journal article
- review article
- Published by Elsevier in Signal Processing
- Vol. 219
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of Liaoning Province (2021-MS-031)
- Shenyang Municipal Institute of Automation, Chinese Academy of Sciences (MR202303)
- Shenyang Municipal Institute of Automation, Chinese Academy of Sciences (2024-Z15)
- Shenyang Municipal Institute of Automation, Chinese Academy of Sciences (2022JC3K05)
- Shenyang Municipal Institute of Automation, Chinese Academy of Sciences (2022-Z11)
- Shenyang Municipal Institute of Automation, Chinese Academy of Sciences (2023JC3G03)
- National Key Research and Development Program of China (2022YFE0204600)
- Ministry of Science and Technology of the People's Republic of China
- Bureau of International Cooperation, Chinese Academy of Sciences
- Liaoning Revitalization Talents Program
- State Key Laboratory of Robotics
- Chinese Academy of Sciences (173321KYSB20180011)
- National Natural Science Foundation of China (62273340)
- National Natural Science Foundation of China (52271353)
- National Natural Science Foundation of China (51909257)
- National Natural Science Foundation of China (62101548)
- Department of Science and Technology of Liaoning Province (XLYC2007035)
- Shenyang Municipal Bureau of Science and Technology (22-315-6-08)
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