Single underwater image enhancement by attenuation map guided color correction and detail preserved dehazing

被引:82
|
作者
Liang, Zheng [1 ]
Wang, Yafei [1 ]
Ding, Xueyan [1 ]
Mi, Zetian [1 ]
Fu, Xianping [1 ,2 ]
机构
[1] Dalian Maritime Univ, Informat Sci & Technol Sch, Dalian 116026, Peoples R China
[2] Pengcheng Lab, Shenzhen 518055, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Underwater image enhancement; Color correction; Wavelength attenuation; Maximum intensity prior; Gradient domain;
D O I
10.1016/j.neucom.2020.03.091
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The attenuation (sum of absorption and scattering), which caused by the dense and non-uniform medium, generally leads to problems of color degradation and detail loss in underwater imaging. To ad -dress these problems, we propose a systematic underwater image enhancement method, which includes an attenuation map guided underwater image color correction approach and a detail preserved dehazing approach. The color correction approach fully considers the main causes of color degradation in underwa-ter imaging, namely wavelength-dependent attenuation of different colors. According to the attenuation map of each color channel, a piece-wise linear transform is used to process the information of each color channel. Then, the detail preserved dehazing approach based on multi-scale decomposition is proposed to compensate for the lost details while eliminating the effects of haze. Especially, an adaptive Maximum Intensity Prior (MIP) measurement based on maximum attenuation identification is proposed to estimate transmission of the medium. Experiments on a variety types of degraded underwater images have proven that our proposed method can produce accurate results with vivid color and fine details, even better than other state-of-the-art underwater image dehazing methods. ? 2020 Published by Elsevier B.V.
引用
收藏
页码:160 / 172
页数:13
相关论文
共 50 条
  • [1] Underwater image enhancement by dehazing and color correction
    Li, Chongyi
    Guo, Jichang
    JOURNAL OF ELECTRONIC IMAGING, 2015, 24 (03)
  • [2] Underwater Image Enhancement by Attenuated Color Channel Correction and Detail Preserved Contrast Enhancement
    Zhang, Weidong
    Wang, Yudong
    Li, Chongyi
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2022, 47 (03) : 718 - 735
  • [3] Underwater Image Enhancement based on Dehazing and Color Correction
    Li, Hanyu
    Zhuang, Peixian
    Wang, Wei
    Li, Jingjing
    2019 IEEE INTL CONF ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, BIG DATA & CLOUD COMPUTING, SUSTAINABLE COMPUTING & COMMUNICATIONS, SOCIAL COMPUTING & NETWORKING (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2019), 2019, : 1365 - 1370
  • [4] Underwater Image Enhancement by the Combination of Dehazing and Color Correction
    Zhang, Wenhao
    Li, Ge
    Ying, Zhenqiang
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING, PT III, 2018, 11166 : 145 - 155
  • [5] Retinex-inspired color correction and detail preserved fusion for underwater image enhancement
    Zhang, Weidong
    Dong, Lili
    Xu, Wenhai
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 192
  • [6] Underwater Image Enhancement Based on Color Correction and Detail Enhancement
    Wu, Zeju
    Ji, Yang
    Song, Lijun
    Sun, Jianyuan
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (10)
  • [7] Joint Iterative Color Correction and Dehazing for Underwater Image Enhancement
    Wang, Kun
    Shen, Liquan
    Lin, Yufei
    Li, Mengyao
    Zhao, Qijie
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (03) : 5121 - 5128
  • [8] An approach for underwater image enhancement based on color correction and dehazing
    Zhang, Yue
    Yang, Fuchun
    He, Weikai
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 17 (05)
  • [9] Adaptive color correction and detail restoration for underwater image enhancement
    Wang, Quan
    Cai, Chengtao
    Zhang, Weidong
    Li, Peitong
    Xin, Boyu
    APPLIED OPTICS, 2022, 61 (06) : C46 - C54
  • [10] Underwater Image Enhancement Based on Color Correction and Detail Preservation
    Chen Xiaoguo
    Hu Jinquan
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (24)