Code for the IT204 project - Image super-resolution and De-blurring using python and matlab
The original paper - Image Super resolution and Deblurring using Deep CNN
Learning Phase 1:
- Getting familiar with different Machine learning models.
- Understanding the workings of a Basic Neural Network.
- Implementing simple a simple CNN to better understand CNNs.
Learning Phase 2:
- Learning how to use different tools for Deep Learning like NumPy and Keras.
Implementation Phase: 3:
- Implementing the proposed CNN.
Learning phase 4:
- Debugging and Code-Optimization.
- Improvement Phase: Using new data to check the network’s performance and carry out minor improvements if possible.