Exposure correction

The model is trained on MIT-Adobe FiveK Dataset.
The dataset is split into training, validation, and testing directories
A patch of size 256X256 is obtained from each image with its corresponding ground truth batch and then fed into the model for training

git clone https://github.com/toqaalaa20/An-application-for-Image-enhancement

Results:

Before

After

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Exposure_dataset.ipynb		Exposure_dataset.ipynb
Model.ipynb		Model.ipynb
Organize_data.ipynb		Organize_data.ipynb
Pre-processing .ipynb		Pre-processing .ipynb
Prepare_data.ipynb		Prepare_data.ipynb
README.md		README.md
generate_patches.ipynb		generate_patches.ipynb
last_model.ipynb		last_model.ipynb