A Nonlinear L1-Norm Approach for Joint Image Registration and Super-Resolution

被引：15
|
作者：
Yap, Kim-Hui [1 ]
He, Yu [1 ]
Tian, Yushuang [1 ]
Chau, Lap-Pui [1 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
IEEE SIGNAL PROCESSING LETTERS | 2009年 / 16卷 / 11期
关键词：
Image registration; image super-resolution; L-1-norm; nonlinear algorithm; RECONSTRUCTION;
D O I：
10.1109/LSP.2009.2028106
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This letter proposes a nonlinear L-1-norm approach for joint image registration and super-resolution (SR). Image SR is the fusion of multiple low-resolution (LR) images to produce a high-resolution (HR) image. Conventional SR algorithms are sensitive to the initial registration error and outliers in the LR images. In view of this, we present a new SR method to address these problems using L-1-norm optimization in joint image registration and HR image reconstruction. Experimental results show that the proposed method is effective in handling these issues in the HR image reconstruction.
引用
收藏
页码：981 / 984
页数：4
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