C++ Implementation of Image Super-Resolution using Convolutional Neural Network
SRCNN_Cpp is a C++ Implementation of Image Super-Resolution using SRCNN which is proposed by Chao Dong in 2014.
If you want to find the details of SRCNN algorithm, please read the paper:
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang. Learning a Deep Convolutional Network for Image Super-Resolution, in Proceedings of European Conference on Computer Vision (ECCV), 2014
If you want to download the training code(caffe) or test code(Matlab) for SRCNN, please open your browse and visit http://mmlab.ie.cuhk.edu.hk/projects/SRCNN.html for more details.
And thank you very much for Chao's work in SRCNN.
SRCNN_Cpp is released under the GPL v2 License (refer to the LICENSE file for details).
You need to install OpenCV2+ or OpenCV3+ in your computer.
OpenCV download site: http://opencv.org/
You also need to install pkg-config.
And we really need g++ which is already installed in almost all Linux systems.
Note: we do not need Caffe in your system!
Our SRCNN_Cpp is developed in fc22 x64_86 system with g++-5.3 and OpenCV 3.0.0.
You can compile the C/C++ files on the command line in your Linux system.
$ ./opencv.sh SRCNN
If the compile is successful, you will see the information below:
[Compile] Complete -- SRCNN.o has created! [Linking] Complete -- SRCNN has created!
You can run the following command to test the demo program.
And the output images is save in the path: ./Output/
If you want to test your own images, please run the following command: