Image resolution enhancement using Super-Resolution Convolutional Neural Networks (SRCNN).
- Image resolution enhancement using SRCNN.
- Training and testing functionalities for the SRCNN model.
- Convenient data loading and preprocessing utilities.
To train the SRCNN model on custom data:
- Prepare your high-resolution and low-resolution image pairs.
- Update the
data_loader.py
script to load your custom dataset. - Run the
trainer.py
script to train the model