nighttime image
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2021 ◽  
Vol 16 (4) ◽  
Author(s):  
Bo Wang ◽  
Li Hu ◽  
Bowen Wei ◽  
Zitong Kang ◽  
Chongyi Li

2021 ◽  
Author(s):  
Junhan Peng ◽  
Jia Su ◽  
Yongqing Sun ◽  
Zheng Wang ◽  
Chia-wen Lin

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

Author(s):  
Biao Duan ◽  
Jing Li ◽  
Huaimin Chen ◽  
Yi Ru ◽  
Ze Zhang

This paper focus on the dehazing of a single image captured at nighttime. The current state-of-the-art nighttime dehazing approaches usually suffer from the color shift problem due to the fact that the assumptions enforced underdaytime cannot get applied to the nighttime image directly. The classical dehazing methods try to estimate the transmission mapand accurate light to dehaze a single image. The present basic idea is to firstly separate the light layer from the hazy image and thetransmission map can be computed afterwards. A new layer separation method is proposed to solve the non-globalatmospheric light problem. The present method on some real datasets to show its superior performance is validated.


2021 ◽  
Vol 202 ◽  
pp. 103086
Author(s):  
Qunfang Tang ◽  
Jie Yang ◽  
Xiangjian He ◽  
Wenjing Jia ◽  
Qingnian Zhang ◽  
...  

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