Day/night unconstrained image dehazing

Author(s):  
Sanchayan Santra ◽  
Bhabatosh Chanda
Keyword(s):  
2020 ◽  
Vol 2020 (1) ◽  
pp. 74-77
Author(s):  
Simone Bianco ◽  
Luigi Celona ◽  
Flavio Piccoli

In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.


2010 ◽  
Vol 30 (9) ◽  
pp. 2417-2421 ◽  
Author(s):  
Fan GUO ◽  
Zi-xing CAI ◽  
Bin XIE ◽  
Jin TANG
Keyword(s):  

2019 ◽  
Vol 31 (7) ◽  
pp. 1148 ◽  
Author(s):  
Xinnan Fan ◽  
Shuyue Ye ◽  
Pengfei Shi ◽  
Xuewu Zhang ◽  
Jinxiang Ma

Author(s):  
Geet Sahu ◽  
Ayan Seal ◽  
Ondrej Krejcar ◽  
Anis Yazidi

2021 ◽  
Vol 30 ◽  
pp. 1100-1115
Author(s):  
Pengyue Li ◽  
Jiandong Tian ◽  
Yandong Tang ◽  
Guolin Wang ◽  
Chengdong Wu

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

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 73330-73339 ◽  
Author(s):  
Jehoiada Jackson ◽  
She Kun ◽  
Kwame Obour Agyekum ◽  
Ariyo Oluwasanmi ◽  
Parinya Suwansrikham

Author(s):  
Fei Yang ◽  
Qian Zhang
Keyword(s):  

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