The official implementation of the paper "Encoder-Decoder Networks with Guided Transmission Map for Effective Image Dehazing".
Authors: Le-Anh Tran, Dong-Chul Park
Journal: The Visual Computer (Springer), 2024
Network Architecture:
Main dependencies (or equivalent):
For other packages, simply run:
$ pip install -r requirements.txt
$ python test_on_images.py
-- path/to/data /
|- A (containing hazy images)
|- B (containing clean images)
$ python train.py
Visual dehazing results on synthetic hazy scenes:
Visual dehazing results on realistic hazy scenes:
(Red: ground-truth, Green: detection)
Visual dehazing + detection results on synthetic hazy scenes:
Visual dehazing + detection results on realistic hazy scenes:
@article{tran2022novel,
title={A novel encoder-decoder network with guided transmission map for single image dehazing},
author={Tran, Le-Anh and Moon, Seokyong and Park, Dong-Chul},
journal={Procedia Computer Science},
volume={204},
pages={682--689},
year={2022},
publisher={Elsevier}
}
@article{tran2024encoder,
title={Encoder-decoder networks with guided transmission map for effective image dehazing},
author={Tran, Le-Anh and Park, Dong-Chul},
journal={The Visual Computer},
pages={1--24},
year={2024},
publisher={Springer}
}
Have fun!
LA Tran