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

页码：981 / 984

页数：4

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