Underwater image dehazing using joint trilateral filter

被引:304
|
作者
Serikawa, Seiichi [1 ]
Lu, Huimin [1 ,2 ]
机构
[1] Kyushu Inst Technol, Dept Elect Engn & Elect, Fukuoka, Japan
[2] Japan Soc Promot Sci, Tokyo, Japan
基金
日本学术振兴会;
关键词
QUALITY ASSESSMENT; ENHANCEMENT; VISIBILITY;
D O I
10.1016/j.compeleceng.2013.10.016
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes a novel method to enhance underwater images by image dehazing. Scattering and color change are two major problems of distortion for underwater imaging. Scattering is caused by large suspended particles, such as turbid water which contains abundant particles. Color change or color distortion corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. Our key contributions are proposed a new underwater model to compensate the attenuation discrepancy along the propagation path, and proposed a fast joint trigonometric filtering dehazing algorithm. The enhanced images are characterized by reduced noised level, better exposedness of the dark regions, improved global contrast while the finest details and edges are enhanced significantly. In addition, our method is comparable to higher quality than the state-of-the-art methods by assuming in the latest image evaluation systems. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:41 / 50
页数:10
相关论文
共 50 条
  • [1] Fast image dehazing using guided joint bilateral filter
    Chunxia Xiao
    Jiajia Gan
    The Visual Computer, 2012, 28 : 713 - 721
  • [2] Fast image dehazing using guided joint bilateral filter
    Xiao, Chunxia
    Gan, Jiajia
    VISUAL COMPUTER, 2012, 28 (6-8): : 713 - 721
  • [3] Enhancement of Image and Depth Map Using Adaptive Joint Trilateral Filter
    Jung, Seung-Won
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2013, 23 (02) : 269 - 280
  • [4] 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
  • [5] An Improved DCT Based Image Fusion Using Saturation Weighting and Joint Trilateral Filter
    Begill, Arun
    Arora, Sankalap
    INTELLIGENT SYSTEMS TECHNOLOGIES AND APPLICATIONS, VOL 1, 2016, 384 : 447 - 457
  • [6] Underwater Image Enhancement Using Guided Joint Bilateral Filter
    Muhammad, Nasir
    Arini
    Fahrianto, Feri
    2018 6TH INTERNATIONAL CONFERENCE ON CYBER AND IT SERVICE MANAGEMENT (CITSM), 2018, : 55 - 60
  • [7] Smoothing range image using trilateral filter and reflectance image
    Oishi, Shuji
    Kurazume, Ryo
    Iwashita, Yumi
    Hasegawa, Tsutomu
    IEEJ Transactions on Electronics, Information and Systems, 2012, 132 (02) : 291 - 298
  • [8] Fast Image Dehazing Using Guided Filter
    Zhang, Qiang
    Li, Xiaorun
    2015 IEEE 16TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT), 2015, : 182 - 185
  • [9] Fast Image Dehazing Using Joint Local Linear SURE-based Filter and Image Fusion
    Zhang, Xiaogang
    Bu, Zhanyu
    Chen, Hua
    Liu, Min
    2015 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST), 2015, : 192 - 197
  • [10] Robust Image Dehazing Using a Duided Filter
    Zhang, Tao
    Yu, Yike
    Sun, Zhangming
    Lei, Zhichun
    2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 1971 - 1975