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岳林蔚-A locally adaptive L-1-L-2 norm for multi-frame super-resolution of images with mixed noise and outliers

发布日期:2014-11-14 10:44:20 阅读次数:[11616]次 作者:

核心提示:来源出版物: SIGNAL PROCESSING

标题: A locally adaptive L-1-L-2 norm for multi-frame super-resolution of images with mixed noise and outliers
作者: Yue, LW (Yue, Linwei); Shen, HF (Shen, Huanfeng); Yuan, QQ (Yuan, Qiangqiang); Zhang, LP (Zhang, Liangpei)
卷: 105  页: 156-174  DOI: 10.1016/j.sigpro.2014.04.031  出版年: DEC 2014  
摘要: In this paper, we present a locally adaptive regularized super-resolution model for images with mixed noise and outliers. The proposed method adaptively assigns the local norms in the data fidelity term of the regularized model. Specifically, it determines different norm values for different pixel locations, according to the impulse noise and motion outlier detection results. The L-1 norm is employed for pixels with impulse noise and motion outliers, and the L-2 norm is used for the other pixels. In order to balance the difference in the constraint strength between the L-1 norm and the L-2 norm, a strategy to adaptively estimate a weighted parameter is put forward. The experimental results confirm the superiority of the proposed method for different images with mixed noise and outliers. (c) 2014 Elsevier B.V. All rights reserved.
地址: [Yue, Linwei; Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China.
[Shen, Huanfeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.
[Yuan, Qiangqiang] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China.
通讯作者地址: Zhang, LP (通讯作者),Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China.
电子邮件地址: zlp62@whu.edu.cn
ISSN: 0165-1684
电子 ISSN: 1879-2677

 

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