An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation
There are many tasks that require clear and easily recognizable images in the field of underwater robotics and marine science, such as underwater target detection and identification of robot navigation and obstacle avoidance. However, water turbidity makes the underwater image quality too low to rec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-03-01
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| Series: | Robotics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2218-6581/7/1/14 |
| _version_ | 1798006755143188480 |
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| author | Kun Xie Wei Pan Suxia Xu |
| author_facet | Kun Xie Wei Pan Suxia Xu |
| author_sort | Kun Xie |
| collection | DOAJ |
| description | There are many tasks that require clear and easily recognizable images in the field of underwater robotics and marine science, such as underwater target detection and identification of robot navigation and obstacle avoidance. However, water turbidity makes the underwater image quality too low to recognize. This paper proposes the use of the dark channel prior model for underwater environment recognition, in which underwater reflection models are used to obtain enhanced images. The proposed approach achieves very good performance and multi-scene robustness by combining the dark channel prior model with the underwater diffuse model. The experimental results are given to show the effectiveness of the dark channel prior model in underwater scenarios. |
| first_indexed | 2024-04-11T13:00:42Z |
| format | Article |
| id | doaj.art-a1e9d4b480f444ff86102772e03311ef |
| institution | Directory Open Access Journal |
| issn | 2218-6581 |
| language | English |
| last_indexed | 2024-04-11T13:00:42Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Robotics |
| spelling | doaj.art-a1e9d4b480f444ff86102772e03311ef2022-12-22T04:22:57ZengMDPI AGRobotics2218-65812018-03-01711410.3390/robotics7010014robotics7010014An Underwater Image Enhancement Algorithm for Environment Recognition and Robot NavigationKun Xie0Wei Pan1Suxia Xu2Fujian Key Laboratory of Brain-inspired Computing Technique and Applications, School of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaFujian Key Laboratory of Brain-inspired Computing Technique and Applications, School of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaFujian Key Laboratory of Brain-inspired Computing Technique and Applications, School of Information Science and Engineering, Xiamen University, Xiamen 361005, ChinaThere are many tasks that require clear and easily recognizable images in the field of underwater robotics and marine science, such as underwater target detection and identification of robot navigation and obstacle avoidance. However, water turbidity makes the underwater image quality too low to recognize. This paper proposes the use of the dark channel prior model for underwater environment recognition, in which underwater reflection models are used to obtain enhanced images. The proposed approach achieves very good performance and multi-scene robustness by combining the dark channel prior model with the underwater diffuse model. The experimental results are given to show the effectiveness of the dark channel prior model in underwater scenarios.http://www.mdpi.com/2218-6581/7/1/14dark channel priorunderwater reflection modelsunderwater environment recognitionImage enhancement |
| spellingShingle | Kun Xie Wei Pan Suxia Xu An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation Robotics dark channel prior underwater reflection models underwater environment recognition Image enhancement |
| title | An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation |
| title_full | An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation |
| title_fullStr | An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation |
| title_full_unstemmed | An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation |
| title_short | An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation |
| title_sort | underwater image enhancement algorithm for environment recognition and robot navigation |
| topic | dark channel prior underwater reflection models underwater environment recognition Image enhancement |
| url | http://www.mdpi.com/2218-6581/7/1/14 |
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