Enhancement and Optimization of Underwater Images and Videos Mapping
文献类型：期刊论文
| 作者 | Li, Chengda1; Dong, Xiang1; Wang, Yu2 ; Wang, Shuo2
|
| 刊名 | SENSORS
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 23期号:12页码:16 |
| 关键词 | underwater image and video restoration transmission map optimizer saturation map color correction |
| DOI | 10.3390/s23125708 |
| 通讯作者 | Dong, Xiang(xdong@ahu.edu.cn) |
| 英文摘要 | Underwater images tend to suffer from critical quality degradation, such as poor visibility, contrast reduction, and color deviation by virtue of the light absorption and scattering in water media. It is a challenging problem for these images to enhance visibility, improve contrast, and eliminate color cast. This paper proposes an effective and high-speed enhancement and restoration method based on the dark channel prior (DCP) for underwater images and video. Firstly, an improved background light (BL) estimation method is proposed to estimate BL accurately. Secondly, the R channel's transmission map (TM) based on the DCP is estimated sketchily, and a TM optimizer integrating the scene depth map and the adaptive saturation map (ASM) is designed to refine the afore-mentioned coarse TM. Later, the TMs of G-B channels are computed by their ratio to the attenuation coefficient of the red channel. Finally, an improved color correction algorithm is adopted to improve visibility and brightness. Several typical image-quality assessment indexes are employed to testify that the proposed method can restore underwater low-quality images more effectively than other advanced methods. An underwater video real-time measurement is also conducted on the flipper-propelled underwater vehicle-manipulator system to verify the effectiveness of the proposed method in the real scene. |
| WOS关键词 | RESTORATION |
| 资助项目 | National Key Research and Development Project Monitoring and Prevention of Major Natural Disasters Special Program[2020YFC1512202] ; National Natural Science Foundation of China[62273342] ; Key Research and Development Project of Anhui Province[2022a05020035] |
| WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001018000100001 |
| 资助机构 | National Key Research and Development Project Monitoring and Prevention of Major Natural Disasters Special Program ; National Natural Science Foundation of China ; Key Research and Development Project of Anhui Province |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53528]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Dong, Xiang |
| 作者单位 | 1.Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Chengda,Dong, Xiang,Wang, Yu,et al. Enhancement and Optimization of Underwater Images and Videos Mapping[J]. SENSORS,2023,23(12):16. |
| APA | Li, Chengda,Dong, Xiang,Wang, Yu,&Wang, Shuo.(2023).Enhancement and Optimization of Underwater Images and Videos Mapping.SENSORS,23(12),16. |
| MLA | Li, Chengda,et al."Enhancement and Optimization of Underwater Images and Videos Mapping".SENSORS 23.12(2023):16. |
入库方式： OAI收割
来源：自动化研究所
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