Image Super Resolution Comparison
Compared traditional and deep learning-based approaches to enhance image resolution beyond the original size. Trained CNNs on paired low/high-resolution datasets and evaluated SRCNN and ResNet architectures.
- Evaluated SRCNN and ResNet architectures for high-fidelity image reconstruction
- Trained on large paired low-resolution / high-resolution image datasets
- Built an interactive demo with Streamlit
PyTorch
Streamlit
SRCNN
ResNet
Python
Git