Li-Chongyi / MMLE_code

MMLE_Code_TIP2022

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MMLE

This Repo includes the code of our MMLE. (MATLAB Version).

If you use our code, please cite our paper and hit the star at the top-right corner. Thanks!

Testing

1. Clone repo
2. run main.m
3. We also provide the code for processing underwater video. run main_video.m

Bibtex

@Article{MMLE,
          author ={Zhang, Weidong and Zhuang, Peixian and Sun, Haihan and Li, Guohou, and Kwong, Sam and Li, Chongyi},
          title = {Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement},
          journal = {IEEE Transactions on Image Processing},
          Volume={},
          pape={},
          year = {2022},
          doi={}
          }

License

The code is made available for academic research purpose only. This project is open sourced under MIT license.

Contact

If you have any questions, please contact Chongyi Li at lichongyi25@gmail.com.

About

MMLE_Code_TIP2022

License:MIT License


Languages

Language:MATLAB 100.0%