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A-low-illumination-image-Enhancement-Algorithm-Based-on-Morphological-Retinex-MR-Operat

Preface

This is a repository for code A low-illumination Image Enhancement Algorithm Based on Morphological-Retinex (MR) Operator as a python project.

In this project, I basically use the Morphological operator and retinex module as the main way to enhance low-light images. I did this research at the end of my college lab time. I am not interested in it anymore. Thus, after the paper published, I send the code and hope it might be helpful to others.

Here is the publish URL https://ieeexplore.ieee.org/document/9581466/

Result:

image

Tips:

The model is quite small, so it will take just seconds to finish the procedure, there is no need for high-level hardware.

The enhancement performance is highly dependent on training parameters. Once you change the parameters, you might get some eccentric results.

Please run pip install -r requirements.txt in your command at first.

Citation

@inproceedings{Chen2018Retinex, title={Deep Retinex Decomposition for Low-Light Enhancement}, author={Chen Wei, Wenjing Wang, Wenhan Yang, Jiaying Liu}, booktitle={British Machine Vision Conference}, year={2018}, organization={British Machine Vision Association} }