Integrated image defogging network based on improved atmospheric scattering model and attention feature fusion

2021 ◽  
Author(s):  
Shengmin He ◽  
Zhixiang Chen ◽  
Fengli Wang ◽  
Meiya Wang
Keyword(s):  
Feature Fusion ◽  
Scattering Model ◽  
Atmospheric Scattering ◽  
Image Defogging ◽  
Atmospheric Scattering Model

An Image Dehazing Algorithm Based on Improved Atmospheric Scattering Model

2019 ◽  
Vol 31 (7) ◽  
pp. 1148 ◽  
Author(s):  
Xinnan Fan ◽  
Shuyue Ye ◽  
Pengfei Shi ◽  
Xuewu Zhang ◽  
Jinxiang Ma
Keyword(s):  
Image Dehazing ◽  
Scattering Model ◽  
Atmospheric Scattering ◽  
Atmospheric Scattering Model

Intensity image restoration of lidar based on atmospheric scattering model

2021 ◽  
Author(s):  
Haoyang Li ◽  
Sining Li ◽  
Peng Jiang ◽  
Jianfeng Sun ◽  
Shihang Guo ◽  
...  
Keyword(s):  
Image Restoration ◽  
Scattering Model ◽  
Atmospheric Scattering ◽  
Intensity Image ◽  
Atmospheric Scattering Model

Single image haze removal with approximate radiance darkness prior

2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840086 ◽  
Author(s):  
Ruxi Xiang ◽  
Feng Wu
Keyword(s):  
Input Image ◽  
Experimental Results ◽  
Single Image ◽  
Scattering Model ◽  
Atmospheric Scattering ◽  
Haze Removal ◽  
Dark Channel ◽  
Atmospheric Scattering Model

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.

Sign in / Sign up

Export Citation Format

Share Document