基于L1/2正则化的超分辨率图像重建算法

被引：6

作者：

王欢

王永革

机构：

[1] 北京航空航天大学数学与系统科学学院

来源：

计算机工程 | 2012年 / 38卷 / 20期

关键词：

L1/2正则化; 稀疏表示; 超分辨率图像重建; K-SVD算法; 字典学习; 训练样本;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

为提高图像重建质量,研究超分辨率图像重建技术与稀疏表示理论,提出一种基于L1/2正则化的超分辨率图像重建算法。将L1/2正则化理论运用到字典学习中,利用学习得到的字典重建高分辨率图像。实验结果表明,该算法的图像重建效果优于基于L1正则化的超分辨率图像重建算法。

引用

页码：191 / 194

页数：4

共 13 条

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