School of Electronics and Information, South China University of Technology, Guangzhou, China
School of Electronics and Information, South China University of Technology, Guangzhou, China
Engineering Research Center for Optoelectronics of Guangdong Province, School of Science and Opto-Electronics, South China University of Technology, Guangzhou, China
Copyright © 2017 Ebtesam Mohameed Alharbi, Hong Wang, Peng Ge et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Alharbi, E. , Wang, H. and Ge, P. (2017) A Novel Dark-Channel Dehazing Algorithm Based on Adaptive-Filter Enhanced SSR Theory.
Journal of Computer and Communications,
5, 60-71. doi:
10.4236/jcc.2017.511005.