Enhancement and Optimization of Underwater Images and Videos Mapping

doi:10.3390/s23125708

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Enhancement and Optimization of Underwater Images and Videos Mapping
	Li, Chengda 1; Dong, Xiang 1; Wang, Yu 2; Wang, Shuo 2
刊名	SENSORS
	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.
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关键词	RESTORATION
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
内容类型	期刊论文
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.