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VS2013 Implementation of Image Super-Resolution using Convolutional Neural Network

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SRCNN_Cpp.VS2013

VS2013 Implementation of Image Super-Resolution using Convolutional Neural Network

Introduction

SRCNN_Cpp.VS2012 is a VC++2013 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.

License

SRCNN_Cpp.VS2013 is released under the GPL v2 License (refer to the LICENSE file for details).

Contents

  1. Requirements
  2. Demo

Requirements

  1. You need to install OpenCV2+ or OpenCV3+ in your computer.

    OpenCV download site: http://opencv.org/

  2. You also need to install Visual Studio in your system.

Note: Our SRCNN_Cpp.VS2013 is developed in Windows 10 x64 system with OpenCV 3.0.0 and Visual Studio 2013.

Demo

  1. SRCNN-CPP1.0 is a IplImage Version Software which will run faster.

  2. SRCNN-CPP2.0 is a Mat Version Software which will run slower.

  3. You can just open the .sln file using Visual Studio and build.

Enjoy Yourselves ~~~

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