激光技术Issue(1)：13-18,6.DOI:10.7510/jgjs.issn.1001-3806.2015.01.003
改进的基于邻域嵌入的图像超分辨率重构
Improved image super-resolution reconstruction based neighbor embedding
摘要
Abstract
In order to improve the time-efficiency of traditional super-resolution reconstruction based on neighbor embedding, a new method was proposed using direction information of image patches to choose neighborhood and classify the training set.Firstly, the training set was classified through the differences of patches directions.Secondly, the neighborhood used to reconstruct was chosen in the sub-sets by selecting training patches with the similar direction, and then the iterative back-projection was applied during the reconstruction to further enhance the super-resolution image quality.Finally, numerical experiments were conducted to verify the new method.The results show that the proposed algorithm increases time-efficiency more than 10 times and super-resolution performance is improved.The new method has better practical value.关键词
图像处理/超分辨率重构/邻域嵌入/方向/迭代反投影Key words
image processing/super-resolution/neighbor embedding/direction/iterative back-projection分类
信息技术与安全科学引用本文复制引用
李强,刘哲,南炳炳,顾淑音..改进的基于邻域嵌入的图像超分辨率重构[J].激光技术,2015,(1):13-18,6.
