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.