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基于双透射率水下成像模型的图像颜色校正
Alternative TitleImage Color Correction Based on Double Transmission Underwater Imaging Model
王国霖1,2,3; 田建东1,2; 李鹏越1,2,4
Department机器人学研究室
Source Publication光学学报
ISSN0253-2239
2019
Volume39Issue:9Pages:1-10
Indexed ByEI ; CSCD
EI Accession number20194307574748
CSCD IDCSCD:6585978
Contribution Rank1
Funding Organization国家自然科学基金资助项目(91648118, 61473280, 61333019) ; 国家自然科学基金创新群体项目(61821005)
Keyword水下图像 双透射率 暗通道先验 颜色校正
Abstract

针对水下图像的颜色失真问题,提出了基于双透射率水下成像模型的图像颜色校正算法。该算法首先在水下成像模型的基础上,将透射率定义为直接分量透射率和后向散射分量透射率;然后通过红色暗通道先验获得后向散射分量透射率,并精确估计背景光,利用无退化像素点获得三通道的直接分量透射率;最后将两个透射率代入成像模型获得复原图像。实验结果表明,该算法仅依靠物理模型便能有效去地除水下图像的色偏。

Other Abstract

An image color correction algorithm based on double transmission underwater imaging model is proposed to solve the color distortion problem of underwater images. Firstly, based on the underwater imaging model, the transmission is defined as direct component transmission and backscatter component transmission. The backscatter component transmission is then obtained by red-dark channel prior, the background light is estimated accurately, and the direct component transmission of the three channels is obtained by the nondegenerate pixel points. Finally, two transmission are substituted into imaging model to obtain the restored image. Experiments show that the algorithm can effectively remove the color cast of underwater images by relying only on the physical model.

Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24701
Collection机器人学研究室
Corresponding Author田建东
Affiliation1.中国科学院沈阳自动化研究所机器人学国家重点实验室
2.中国科学院机器人与智能制造创新研究院
3.中国科学院大学
4.东北大学机器人科学与工程学院
Recommended Citation
GB/T 7714
王国霖,田建东,李鹏越. 基于双透射率水下成像模型的图像颜色校正[J]. 光学学报,2019,39(9):1-10.
APA 王国霖,田建东,&李鹏越.(2019).基于双透射率水下成像模型的图像颜色校正.光学学报,39(9),1-10.
MLA 王国霖,et al."基于双透射率水下成像模型的图像颜色校正".光学学报 39.9(2019):1-10.
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