Image recovery method for underwater targets with complex polarization characteristics

被引:6
作者
Fang, Ming [1 ,2 ]
Cai, Yaxin [2 ]
Zhang, Jiarui [2 ]
机构
[1] Changchun Univ Sci & Technol, Sch Artificial Intelligence, Changchun 130022, Peoples R China
[2] Changchun Univ Sci & Technol, Sch Comp Sci & Technol, Changchun 130022, Peoples R China
关键词
VISIBILITY;
D O I
10.1364/OE.523180
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Polarization imaging techniques have been effective in improving the clarity of turbid underwater images affected by water scattering. These techniques offer valuable additional information compared to traditional methods. However, previous descattering methods have mostly been designed for targets with uniform distribution of polarimetric characteristics. Therefore, targets with complex polarization characteristics have non-uniform distribution of polarization characteristics when dealing with such problems, additional parameter estimation errors can limit the results of image recovery. This paper proposes what we believe is a novel approach to address this issue. The method involves obtaining a new set of images using the polarization images vector space transformation method. The angle of polarization (AOP) of the target reflected light is estimated using the additivity law of the Stokes vector. This information is then combined with the physical model of underwater imaging to recover the underwater images affected by scattering. Experimental results conducted under varying levels of water turbidity validate the effectiveness of the proposed method. Moreover, the proposed method significantly broadens the range of application scenarios.
引用
收藏
页码:19801 / 19813
页数:13
相关论文
共 24 条
[1]   Archaeology of the continental shelf: Marine resources, submerged landscapes and underwater archaeology [J].
Bailey, Geoffrey N. ;
Flemming, Nicholas C. .
QUATERNARY SCIENCE REVIEWS, 2008, 27 (23-24) :2153-2165
[2]   Experimentation of structured light and stereo vision for underwater 3D reconstruction [J].
Bruno, F. ;
Bianco, G. ;
Muzzupappa, M. ;
Barone, S. ;
Razionale, A. V. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2011, 66 (04) :508-518
[3]   A Review on Image Enhancement and Restoration Techniques for Underwater Optical Imaging Applications [J].
Deluxni, N. ;
Sudhakaran, Pradeep ;
Kitmo ;
Ndiaye, Mouhamadou Falilou .
IEEE ACCESS, 2023, 11 :111715-111737
[4]   Optical correlation assists to enhance underwater polarization imaging performance [J].
Han, Pingli ;
Liu, Fei ;
Wei, Yi ;
Shao, Xiaopeng .
OPTICS AND LASERS IN ENGINEERING, 2020, 134
[5]   Underwater image recovery considering polarization effects of objects [J].
Huang, Bingjing ;
Liu, Tiegen ;
Hu, Haofeng ;
Han, Jiahui ;
Yu, Mingxuan .
OPTICS EXPRESS, 2016, 24 (09) :9826-9838
[6]   Adaptive weighted multiscale retinex for underwater image enhancement [J].
Li, Dayi ;
Zhou, Jingchun ;
Wang, Shiyin ;
Zhang, Dehuan ;
Zhang, Weishi ;
Alwadai, Raghad ;
Alenezi, Fayadh ;
Tiwari, Prayag ;
Shi, Taian .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 107
[7]   Underwater active polarization descattering based on a single polarized image [J].
Li, Haoxiang ;
Zhu, Jingping ;
Deng, Jinxin ;
Guo, Fengqi ;
Zhang, Ning ;
Sun, Jian ;
Hou, Xun .
OPTICS EXPRESS, 2023, 31 (13) :21988-22000
[8]   Influence mechanism of the particle size on underwater active polarization imaging of reflective targets [J].
Li, Haoxiang ;
Zhu, Jingping ;
Deng, Jinxin ;
Guo, Fengqi ;
Sun, Jian ;
Zhang, Yunyao ;
Hou, Xun .
OPTICS EXPRESS, 2023, 31 (05) :7212-7225
[9]   Polarimetric image recovery method combining histogram stretching for underwater imaging [J].
Li, Xiaobo ;
Hu, Haofeng ;
Zhao, Lin ;
Wang, Hui ;
Yu, Yin ;
Wu, Lan ;
Liu, Tiegen .
SCIENTIFIC REPORTS, 2018, 8
[10]   Visibility enhancement of hazy images based on a universal polarimetric imaging method [J].
Liang, Jian ;
Ren, Li-Yong ;
Ju, Hai-Juan ;
Qu, En-Shi ;
Wang, Ying-Li .
JOURNAL OF APPLIED PHYSICS, 2014, 116 (17)