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AODNet

All in one Dehazing net

End to end Deep Learning Model to remove haze from images written in Tensorflow 2.1

Requirements: Tensorflow, OpenCV, Numpy, Streamlit, Pillow

I implemented everything in Python 3.7

To test, download the code, install all requirements and run the streamlit web application as:

streamlit run aod_webapp.py

you can upload your image and get the haze free image and download it

Dataset used was : https://sites.google.com/site/boyilics/website-builder/project-page

Examples

Exmaple-1 Exmaple-1

Exmaple-2 Exmaple-2

Exmaple-3 Exmaple-1

Exmaple-1 Exmaple-1

References

@InProceedings{Li_2017_ICCV,
author = {Li, Boyi and Peng, Xiulian and Wang, Zhangyang and Xu, Jizheng and Feng, Dan},
title = {AOD-Net: All-In-One Dehazing Network},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}

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