Spatially adaptive TGV-regularized variational model for single image dehazing

2021 ◽  
Vol 30 (06) ◽  
Author(s):  
Qiaoling Shu
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 15722-15736 ◽  
Author(s):  
Yun Liu ◽  
Jinxia Shang ◽  
Lei Pan ◽  
Anzhi Wang ◽  
Minghui Wang

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.


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

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

2021 ◽  
pp. 1-1
Author(s):  
Hui Li ◽  
Qingbo Wu ◽  
King Ngi Ngan ◽  
Hongliang Li ◽  
Fanman Meng

Author(s):  
Jehoiada Jackson ◽  
Oluwasanmi Ariyo ◽  
Kingsley Acheampong ◽  
Maxwell Boakye ◽  
Enoch Frimpong ◽  
...  

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