san-santra/CVPR2018_Dehazing

Code of the paper "Image Dehazing by Joint Estimation of Transmittance and Airlight using Bi-Directional Consistency Loss Minimized FCN"

Project Page

Input	Dehzed

Dependency

• For Running
  • Python 2
  • keras
  • scipy
  • numpy
  • scikit-image
  • matplotlib

Running

$ cd src/
$ python main.py  <hazy_image_dir>   <output_dir>

This runs the code in the supplied images.

$python main.py  ../data/hazy_img/ ../data/out/

Files

├── data
│   ├── hazy_img
│   │   └── lawn1_input.png
│   └── out
│       ├── ADelhi_Smog-PTI.jpg
│       ├── Delhi_Smog-PTI.jpg
│       └── TDelhi_Smog-PTI.jpg
├── models
│   └── model_weights.h5                   # Trained model
├── Readme.md
└── src
    ├── gf.py                              # guided filter
    ├── main_file.py
    ├── main.py                            # main file
    └── model.py                           # model

Publication

Ranjan Mondal, Sanchayan Santra and Bhabatosh Chanda. "Image Dehazing by Joint Estimation of Transmittance and Airlight using Bi-Directional Consistency Loss Minimized FCN" Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop. 2018, pp-920-928.

BibTeX:

@inproceedings{mondal2018image,
  title={Image Dehazing by Joint Estimation of Transmittance and Airlight using Bi-Directional Consistency Loss Minimized FCN},
  author={Mondal, Ranjan and Santra, Sanchayan and Chanda, Bhabatosh},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={920--928},
  year={2018}
}