Tensorflow implementation of Convolutional Neural Networks for
super-resolution. The original Matlab and Caffe from official website
can be found here.
Prerequisites
Tensorflow
Scipy version > 0.18 ('mode' option from scipy.misc.imread function)
h5py
matplotlib
This code requires Tensorflow. Also scipy is used instead of Matlab
or OpenCV. Especially, installing OpenCV at Linux is sort of
complicated. So, with reproducing this paper, I used scipy instead. For
more imformation about scipy, click here.
Usage
For training, python main.py For testing, python main.py --is_train False --stride 21
Result
After training 15,000 epochs, I got similar super-resolved image to
reference paper. Training time takes 12 hours 16 minutes and 1.41
seconds. My desktop performance is Intel I7-6700 CPU, GTX970, and 16GB
RAM. Result images are shown below.