DPRED

Code used for "Deep parametric Retinex decomposition model for low-light image enhancement" (Computer Vision and Image Understanding)

Network

Implementation

Pytorch 1.10.1
Python 3.6.12

Train

python DecomNet_train.py
python Enhance_I_train.py
python Enhance_R_train.py
python Denoise_enI_train.py

Test

python test_LOL.py
python test_LIME.py

Note the checkpoint for Fnet can be downloaded at https://drive.google.com/drive/folders/1SMv2BUe1Ete3J9-K6lIEInCWhJFvaXRv?usp=sharing.

Model

model.py
network_unet.py
basicblock.py

Load Dataset

MyDataset.py

Citation

if you find this repo is helpful, please cite

@article{li2024deep,
  title={Deep parametric Retinex decomposition model for low-light image enhancement},
  author={Li, Xiaofang and Wang, Weiwei and Feng, Xiangchu and Li, Min},
  journal={Computer Vision and Image Understanding},
  volume={241},
  pages={103948},
  year={2024}
}