The Influence of Regularization Parameter on Error Bound in Super-Resolution Reconstruction

被引：0

作者：

Shen, Minmin ^{[1
]}

Xue, Ping ^{[1
]}

Wang, Ci ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2008, 9TH PACIFIC RIM CONFERENCE ON MULTIMEDIA | 2008年 / 5353卷

关键词：

Error bound; super-resolution; regularization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Regularization method is widely used to address the ill-conditioned problem of super-resolution (SR) reconstruction to improve its performance. The tradeoff between the fidelity of the data (due to small values of regularization parameter) and the smoothness of the SR result necessitates the choice of the regularization parameter to obtain the optimal solution. In this paper,(1) the objective relative error is analyzed to explore the influence of the regularization parameter oil SR reconstructiou performance. With the optimal regularization parameter, we derive a relative error bound. The analysis is verified by experiment results.

引用

页码：535 / 542

页数：8

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