Variational Single Nighttime Image Haze Removal with a Gray Haze-Line Prior

Author(s):  
Wenhui Wang ◽  
Anna Wang ◽  
Chen Liu
Keyword(s):  
2017 ◽  
Vol 25 (3) ◽  
pp. 729-734 ◽  
Author(s):  
余顺园 YU Shun-yuan ◽  
朱 虹 ZHU Hong

2018 ◽  
Vol 20 (11) ◽  
pp. 3008-3018 ◽  
Author(s):  
Minmin Yang ◽  
Jianchang Liu ◽  
Zhengguo Li
Keyword(s):  

2021 ◽  
Vol 183 ◽  
pp. 107986
Author(s):  
Yun Liu ◽  
Anzhi Wang ◽  
Hao Zhou ◽  
Pengfei Jia

Author(s):  
Xia Lan ◽  
Liangpei Zhang ◽  
Huanfeng Shen ◽  
Qiangqiang Yuan ◽  
Huifang Li
Keyword(s):  

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3926
Author(s):  
Juping Liu ◽  
Shiju Wang ◽  
Xin Wang ◽  
Mingye Ju ◽  
Dengyin Zhang

Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data with visible light band. To make up for such deficiency, numerous dehazing work and efforts have been made recently, whose strategy is to directly restore single hazy data without the need for using any extra information. In this paper, we first classify the current available algorithm into three categories, i.e., image enhancement, physical dehazing, and data-driven. The advantages and disadvantages of each type of algorithm are then summarized in detail. Finally, the evaluation indicators used to rank the recovery performance and the application scenario of the RS data haze removal technique are discussed, respectively. In addition, some common deficiencies of current available methods and future research focus are elaborated.


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