Adaptive non-convex total variation regularisation for image restoration

被引：14
|
作者：
Fu, S. [1 ,2 ]
Zhang, C. [1 ]
机构：
[1] Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Peoples R China
[2] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
来源：
ELECTRONICS LETTERS | 2010年 / 46卷 / 13期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
D O I：
10.1049/el.2010.0027
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：
An adaptive non-convex total variation regularisation is proposed for blind image restoration. A flux corrected transport (FCT) technique is used to obtain a stable numerical scheme, where a spatially varying constraint allows a better restoration of image edges and fine detail. Finally, its advantages are shown in deblurring edges, denoising and restoring fine details of image simultaneously in experiments.
引用
收藏
页码：907 / U56
页数：2
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