Official implementation for “Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior”

Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior.

The code will release soon.

Implementation

• Python3
• PyTorch>=1.0
• NVIDIA GPU+CUDA

Guidance

The code will release soon.

Paper Summary

HEP consists of two stages, Light Up Module (LUM) and Noise Disentanglement Module (LUM)

Representative Visual Results

README waits for updated, more visual results will release soon

Citation

if you find this repo is helpful, please cite

@misc{zhang2021unsupervised,
      title={Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior}, 
      author={Feng Zhang and Yuanjie Shao and Yishi Sun and Kai Zhu and Changxin Gao and Nong Sang},
      year={2021},
      eprint={2112.01766},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}