An implementation of the Super Resolution CNN proposed in:
Chao Dong, Chen Change Loy, Xiaoou Tang. Accelerating the Super-Resolution Convolutional Neural Network, in Proceedings of European Conference on Computer Vision (ECCV), 2016
Written in Python using Keras on top of TensorFlow
- The author's project page
- To download the required data for training/testing, please refer to the README.md at data directory.
- FSRCNN.py : main training file
To download the required data for training/testing, please refer to the README.md at data directory.
The training images come from the 291 images data set. Simply run the "FSRCNN.py" script to begin training.
NOTE: 32x32 HR images are used in the program rather than the size suggested in the paper.