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A-Switched-View-of-Retinex-Deep-Self-Regularized-Low-Light-Image-Enhancement

The code of Paper "A Switched View of Retinex: Deep Self-Regularized Low-Light Image Enhancement".

The implementation is for non-commercial use only.

Requirements

  1. python 3.6.12
  2. torch 1.6.0
  3. torchvision 0.7.0
  4. cuda 10.1
  5. kornia 0.4.1

Test

python test.py 

You should specify the test image path and output path.

Train

Download the training dataset (SICE) at baidu net disk [password: dsdh]

python main.py 

Contact

If you have any questions, please contact Haotian Li at lht1996@bupt.edu.cn.

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The code of Paper "A Switched View of Retinex: Deep Self-Regularized Low-Light Image Enhancement"

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