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%       LRTV: Low-Rank Total Variation for Image Super-Resolution
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%       Developer: Jian Cheng, NICHD (jian.cheng.1983@gmail.com)
%                  Feng Shi, UNC-Chapel Hill (fengs@med.unc.edu)
%       Version: 1.0, initial release
% =========================================================================

The superResolutionToolkit aims to increase the resolution of input image.

It is the implementation of below paper:
Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen, "LRTV: MR Image Super-Resolution with Low-Rank and Total Variation Regularizations", accepted for IEEE Trans. On Medical Imaging, 2015.
http://dx.doi.org/10.1109/TMI.2015.2437894

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In this toolbox you can find the following files:
1. example.m - the example file run super resolution on 2D images.
2. example3D.m - the example file run super resolution on 3D images.
  
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Required software
This toolkit require MATLAB to run.

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To run the toolbox
1. The in-plane resolution of input image should be 256*256
2. Follow the example to run the algorithm.