Dual-Purpose Method for Underwater and Low-Light Image Enhancement via Image Layer Separation

被引:19
作者
Dai, Chenggang [1 ]
Lin, Mingxing [1 ]
Wang, Jingkun [1 ]
Hu, Xiao [2 ]
机构
[1] Shandong Univ, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture, Natl Demonstrat Ctr Expt Mech Engn Educ,Minist Ed, Jinan 250061, Peoples R China
[2] Guangzhou Intelligent Equipment Grp Co Ltd, Guangzhou 510330, Peoples R China
关键词
Dual-purpose enhancement method; underwater image; low-light image; image layer separation; CONTRAST ENHANCEMENT; ILLUMINATION; RETINEX; RESTORATION; VISIBILITY;
D O I
10.1109/ACCESS.2019.2958078
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Underwater and low-light images possess different characteristics; hence, few approaches have been exploited to jointly improve the visibility of these images. Herein, a dual-purpose method that achieves satisfactory performance in enhancing the visibility of both underwater and low-light images is proposed. In our study, the formation of these two types of images is described in a unified manner. Subsequently, an objective function is formulated, and several novel regularization terms are imposed on our optimization algorithm to separate incident light and reflectance as well as suppress intensive noise simultaneously. Next, post-processing algorithms are implemented to correct the color distortion of the incident light and improve the contrast of the reflectance. Ultimately, an enhanced image with clear visibility and natural appearance can be achieved by integrating the processed reflectance and incident light. Additionally, comprehensive tests were performed to compare the proposed method with other outstanding methods. Experiments on images captured in various scenes demonstrated the effectiveness of the proposed method, as evident in enhanced underwater and low-light images.
引用
收藏
页码:178685 / 178698
页数:14
相关论文
共 54 条
[1]   Color Balance and Fusion for Underwater Image Enhancement [J].
Ancuti, Codruta O. ;
Ancuti, Cosmin ;
De Vleeschouwer, Christophe ;
Bekaert, Philippe .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (01) :379-393
[2]  
Ancuti C, 2012, PROC CVPR IEEE, P81, DOI 10.1109/CVPR.2012.6247661
[3]   Spatial Entropy-Based Global and Local Image Contrast Enhancement [J].
Celik, Turgay .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (12) :5298-5308
[4]   Contextual and Variational Contrast Enhancement [J].
Celik, Turgay ;
Tjahjadi, Tardi .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 20 (12) :3431-3441
[5]  
Chambolle A., P ENERGY MINIMIZATIO, V2005, p136~152
[6]   Learning to See in the Dark [J].
Chen, Chen ;
Chen, Qifeng ;
Xu, Jia ;
Koltun, Vladlen .
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, :3291-3300
[7]   Underwater Image Enhancement by Wavelength Compensation and Dehazing [J].
Chiang, John Y. ;
Chen, Ying-Ching .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (04) :1756-1769
[8]   Single hazy image restoration using robust atmospheric scattering model [J].
Dai, Chenggang ;
Lin, Mingxing ;
Wu, Xiaojian ;
Zhang, Dong .
SIGNAL PROCESSING, 2020, 166
[9]  
Deng J, 2009, PROC CVPR IEEE, P248, DOI 10.1109/CVPRW.2009.5206848
[10]   Transmission Estimation in Underwater Single Images [J].
Drews-, P., Jr. ;
do Nascimento, E. ;
Moraes, F. ;
Botelho, S. ;
Campos, M. .
2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2013, :825-830