This Repo includes the testing codes of our SMDR-IS. (PyTorch Version).
If you use our code, please cite our paper and hit the star at the top-right corner. Thanks!
Python 3.7, Pytorch 1.11.0.
1. Download the code
2. Put your testing images in the "data/input" folder
3. Python test.py
4. Find the result in "data/result" folder
5. You can find the pre-trained model in [Google Drive](https://drive.google.com/file/d/1yC2lw6J4WQfuycWNlwHgIhy87xSQJftg/view?usp=drive_link)
Note that the PSNR_SSIM.py provide the metrics code adopted our paper.
The validation data are in the "data/input" folder (underwater images), "data/gt" folder (grount truth images).
@article{zhang2023synergistic,
title={Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement},
author={Zhang, Dehuan and Zhou, Jingchun and Zhang, Weishi and Guo, ChunLe and Li, Chongyi},
journal={arXiv preprint arXiv:2308.11932},
year={2023}
}
The code is made available for academic research purpose only. This project is open sourced under MIT license.
If you have any questions, please contact Jingchun Zhou at [email protected].