红外技术2012，Vol.34Issue(1)：24-30,7.
图像超分辨率重建算法综述
A Review of Super-resolution Reconstruction Algorithms
摘要
Abstract
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.关键词
超分辨率重建/规整化/流形学习Key words
Super-Resolution Reconstruction/Regularization/Manifold Learning Algorithm分类
信息技术与安全科学引用本文复制引用
江静,张雪松..图像超分辨率重建算法综述[J].红外技术,2012,34(1):24-30,7.基金项目
国家自然科学基金资助项目(51074169)、中央高校基本科研业务费资助(JD1201B). （51074169）
