stjordanis/fsrcnn-keras

FSRCNN Super Resolution Network implemented in Keras

Keras FSRCNN

Overview

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.

Files

• FSRCNN.py : main training file

Usage

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.