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Testing code for "Underwater Image Enhancement with Phase Transfer and Attention"

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UIEPTA

Dataset Preparation

Download UIEB Dataset and EUVP dataset

Folder Structure

The uw_data directory consists of two main subdirectories: train, which contains subdirectories a (containing training input images) and b (containing corresponding ground truth images for training), and test, which contains subdirectories a (with testing input images) and b (containing corresponding ground truth images for testing).

Training Instructions

To train the model, execute the following command in your terminal:

python train.py

Citation

If you found this work helpful, please cite it using the following reference:

UIEPTA

@inproceedings{khan2023underwater, title={Underwater Image Enhancement with Phase Transfer and Attention}, author={Khan, MD Raqib and Kulkarni, Ashutosh and Phutke, Shruti S and Murala, Subrahmanyam}, booktitle={2023 International Joint Conference on Neural Networks (IJCNN)}, pages={1--8}, year={2023}, organization={IEEE}})

For any inquiries or further information, please contact me at srk689800@gmail.com.

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Testing code for "Underwater Image Enhancement with Phase Transfer and Attention"

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