Please wait a minute...
Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2019, Vol. 13 Issue (3) : 665-667    https://doi.org/10.1007/s11704-019-8165-6
LETTER
A visual hierarchical framework based model for underwater image enhancement
Bo WANG1(), Chongyi LI2
1. School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China
2. Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China
 Download: PDF(296 KB)  
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Corresponding Author(s): Bo WANG   
Just Accepted Date: 20 December 2018   Online First Date: 26 February 2019    Issue Date: 24 April 2019
 Cite this article:   
Bo WANG,Chongyi LI. A visual hierarchical framework based model for underwater image enhancement[J]. Front. Comput. Sci., 2019, 13(3): 665-667.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-019-8165-6
https://academic.hep.com.cn/fcs/EN/Y2019/V13/I3/665
1 SGao, KYang, CLi. Color constancy using double-opponency. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(10): 1973–1985
https://doi.org/10.1109/TPAMI.2015.2396053
2 XZhang, SGao, RLi, XDu, CLi, YLi. A retinal mechanism inspired color constancy model. IEEE Transactions on Image Processing, 2016, 25(3): 1219–1232
https://doi.org/10.1109/TIP.2016.2516953
3 XZhang, SGao, CLi, YLi. A retina inspired model for enhancing visibility of hazy images. Frontiers in Computational Neuroscience, 2015, 9: 151
https://doi.org/10.3389/fncom.2015.00151
4 S GNarasimhan, S KNayar. Vision and the atmosphere. International Journal of Computer Vision, 2002, 48(3): 233–254
https://doi.org/10.1023/A:1016328200723
5 NCarlevaris-Bianco, A Mohan, R MEustice. Initial results in underwater single image dehazing. In: Proceedings of the OCEANS Conference. 2010, 1–8
https://doi.org/10.1109/OCEANS.2010.5664428
[1] Article highlights Download
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed