% =========================================================================
%       LRTV: Low-Rank Total Variation for Image Super-Resolution
% =========================================================================
%       Developer: Jian Cheng, NICHD ([email protected])
%                  Feng Shi, UNC-Chapel Hill ([email protected])
%       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

================================================
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.
  
================================================
Required software
This toolkit require MATLAB to run.

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