A survey of super resolution algorithms
Hua Huang · Journal of Shandong University · 2009
The goal of super resolution is to get high resolution images from at least one low resolution image. However,with the traditional (interpolation-based and reconstruction-based) methods it is difficult to make further important progress. The emerging learning-based super-resolution methods breathe new life into the research. By reviewing these three kinds of methods,the history of super resolution was surveyed,the limitation of existing methods was discussed and the roadmap was analyzed for future developments.