Super Resolution CNN is a Deep Convolutional Network suggested by Chao Dong et al for Image Super-Resolution problem, i.e. to convert a low resolution image to a high resolution scale. It was a breakthrough in the SR problem and surpassed many state of the art techniques like the bicubic baseline and the sparse-coding-based method. Read more here.
- Python
- Deep Learning
- Convolutional Neural Networks
- Jupyter Notebook
The original paper can be found here.