De-scattering method of underwater image based on imaging of specific polarization state

被引:0
作者
Chu J.-K. [1 ]
Zhang P.-Q. [1 ]
Cheng H.-Y. [1 ]
Zhang R. [1 ]
机构
[1] Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Key Laboratory for Precision and Non-traditional Machining Technology, Ministry of Education, Dalian University of Technology, Dalian
来源
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2021年 / 29卷 / 05期
关键词
Image quality assessment; Polarization imaging; Scattering; Underwater optics;
D O I
10.37188/OPE.20212905.1207
中图分类号
学科分类号
摘要
To perform de-scattering of blurred turbid underwater images, we herein develop a physical model of the underwater polarization imaging process, study the effect of underwater scattering on the transmission of polarized light, and then propose a method for de-scattering such turbid underwater images on the basis of a specific polarization state. First, a polarization camera is used to conduct imaging contrast experiments in turbid water. Next, the optimal imaging interval for a specific degree and angle of polarization is selected using the optimization algorithm, following which the target image after de-scattering is obtained. Finally, subjective vision and the objective indicators are evaluated and used as bases for analyzing the target image in different situations. The experimental results indicate that the subjective visual quality of the target image significantly improved, the enhancement measure by entropy (EME) value of the objective evaluation index is increased by 455%, the variance is increased by 124% and 38%, and the average gradient is increased by 19% and 6%. Therefore, the method proposed in this paper can facilitate simple and effective suppression of the scattering of turbid underwater images, increase in the image contrast, and improvement in the image quality.
引用
收藏
页码:1207 / 1215
页数:8
相关论文
共 22 条
[1]  
GUO J CH, LI CH Y, GUO CH L, Et al., Research progress of underwater image enhancement and restoration methods, Journal of Image and Graphics, 22, 3, pp. 273-287, (2017)
[2]  
HAN M, LYU Z, QIU T, Et al., A review on intelligence dehazing and color restoration for underwater images, IEEE Transactions on Systems, Man, and Cybernetics: Systems, (2018)
[3]  
QUAN X Q, CHEN X Z, QUAN Y Q, Et al., Analysis and research progress of deep-sea optical illumination and imaging system, CHINESE OPTIC, 11, 2, pp. 153-165, (2018)
[4]  
CHENG H, CHU J, ZHANG R, Et al., Underwater polarization patterns considering single Rayleigh scattering of water molecules, International Journal of Remote Sensing, 41, 13, pp. 4947-4962, (2020)
[5]  
CHU J, TIAN L, CHENG H, Et al., The simulation of polarization pattern under wavy water surfaces dominated by skylight, Acta Optica Sinica, 40, 20, (2020)
[6]  
CHENG H, CHU J, ZHANG R, Et al., Real-time position and attitude estimation for homing and docking of an autonomous underwater vehicle based on bionic polarized optical guidance [J], Journal of Ocean University of China, 19, pp. 1042-1050, (2020)
[7]  
HITAM M S, AWALLUDIN E A, YUSSOF W N J H W, Et al., Mixture contrast limited adaptive histogram equalization for underwater image enhancement, 2013 International conference on computer applications technology (ICCAT), pp. 1-5, (2013)
[8]  
ANCUTI C O, ANCUTI C, DE VLEESCHOUWER C, Et al., Color balance and fusion for underwater image enhancement, IEEE Transactions on image processing, 27, 1, pp. 379-393, (2017)
[9]  
ZHAO Y Q, DAI H M, SHEN L H, Et al., Review of underwater polarization clear imaging methods, Infrared and Laser Engineering, 49, pp. 43-53, (2020)
[10]  
FAN ZH G, SONG Q, DAI Q Q, Et al., Underwater target polarization recovery method based on global parameter estimation, Opt. Precision Eng, 26, 7, pp. 1621-1632, (2018)