介绍了超分辨率重建的基本原理与数学模型，对现有的图像超分辨率重建算法进行了总结。将当前的超分辨率算法分为基于重建约束的方法和基于学习的方法两大类，分别阐述了超分辨率重建技术的经典方法，最后指出了低质量图像超分辨率技术进一步的研究方向。

The basic principles and mathematical models of super-resolution reconstruction are described; the existing super-resolution reconstruction algorithms are summarized.The current super-resolution methods are divided into two categories, that is, the reconstructed constraints methods and learning approach.The methods of classic super-resolution reconstruction are respectively described.Finally, the further research directions of super-resolution reconstruction technique for low-quality images are proposed.