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

被引:88
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
  • [21] Retinex based Underwater Image Enhancement using Attenuation Compensated Color Balance and Gamma Correction
    Xu, Shuai
    Zhang, Jian
    Bo, Liling
    Li, Hongran
    Zhang, Heng
    Zhong, Zhaoman
    Yuan, Dongqing
    [J]. INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND ROBOTICS 2021, 2021, 11884
  • [22] Underwater image enhancement by combining color constancy and dehazing based on depth estimation
    Muniraj, Manigandan
    Dhandapani, Vaithiyanathan
    [J]. NEUROCOMPUTING, 2021, 460 : 211 - 230
  • [23] Underwater image dehazing and color correction algorithm based on scene depth estimation
    Sun, Dianjun
    Shi, Yu
    Hua, Xia
    Feng, Yayuan
    Hong, Hanyu
    [J]. MIPPR 2019: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2020, 11432
  • [24] Single underwater image restoration based on color correction and optimized transmission map estimation
    Ke, Ke
    Zhang, Chunmin
    Wang, Yanqiang
    Zhang, Yujiao
    Yao, Baoli
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 34 (05)
  • [25] UNDERWATER IMAGE ENHANCEMENT USING GUIDED TRIGONOMETRIC BILATERAL FILTER AND FAST AUTOMATIC COLOR CORRECTION
    Lu, Huimin
    Li, Yujie
    Serikawa, Seiichi
    [J]. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 2013, : 3412 - 3416
  • [26] Transmission and Color-guided Network for Underwater Image Enhancement
    Mu, Pan
    Fang, Jing
    Qian, Haotian
    Bai, Cong
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, ICME, 2023, : 1337 - 1342
  • [27] An underwater image enhancement method based on color correction and transmission rate estimation
    Peng, Yanhua
    Yan, Yipu
    Chen, Guoyu
    Lan, Haibei
    [J]. 2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2022,
  • [28] Underwater image enhancement by using amalgamation of colour correction, contrast-enhancing and dehazing
    Dua, Mohit
    Nalawade, Shubhankar
    Dua, Shelza
    [J]. PHYSICA SCRIPTA, 2024, 99 (04)
  • [29] Underwater image dehazing using a novel color channel based dual transmission map estimation
    Xiaohong Yan
    Guangyuan Wang
    Peng Lin
    Junbo Zhang
    Yafei Wang
    Xianping Fu
    [J]. Multimedia Tools and Applications, 2024, 83 : 20169 - 20192
  • [30] Underwater image dehazing using a novel color channel based dual transmission map estimation
    Yan, Xiaohong
    Wang, Guangyuan
    Lin, Peng
    Zhang, Junbo
    Wang, Yafei
    Fu, Xianping
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (07) : 20169 - 20192