Research on polarization dehazing algorithm based on atmospheric scattering model

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

2021 ◽  
Author(s):  
Haoyang Li ◽  
Sining Li ◽  
Peng Jiang ◽  
Jianfeng Sun ◽  
Shihang Guo ◽  
...  

2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840086 ◽  
Author(s):  
Ruxi Xiang ◽  
Feng Wu

In this paper, we propose a novel and effective method for removing haze based on a single image, which firstly computes the dark channel of the estimated radiance image by decomposing the dark channel of the haze input image, and the method then estimates the transmission map of the input image. Finally, the scene radiance image is restored by the classical atmospheric scattering model. Experimental results show that the proposed method outperforms He et al.’s method in terms of haze removal.


2012 ◽  
Vol 461 ◽  
pp. 849-853 ◽  
Author(s):  
Hui Ying Dong ◽  
He Bai ◽  
Xin Wei Wang

This paper introduces a method of restoring the fog degraded image based on the monochromatic atmospheric scattering model. On the base of the analysis of the monochromatic atmospheric scattering model, we can get the sky information of the fog image by using automatic calculation method. Through the scene depth method, we can restore the degenerated gray image. Because the brightness of the restored images is slipped, we enhance the brightness through enhancing the brightness based on the scene depth. The MATLAB experiments show that this method can efficiently restore the fog gray image.


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