Single image super-resolution using combined total variation regularization by split Bregman Iteration

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	Single image super-resolution using combined total variation regularization by split Bregman Iteration
	Li, Lin; Xie, Yuan; Hu, Wenrui; Zhang, Wensheng
发表期刊	NEUROCOMPUTING
	2014-10-22
卷号	142 页码:551-560
文章类型	Article
摘要	This paper addresses the problem of generating a high-resolution (HR) image from a single degraded low-resolution (LR) input image without any external training set. Due to the ill-posed nature of this problem, it is necessary to find an effective prior knowledge to make it well-posed. For this purpose, we propose a novel super-resolution (SR) method based on combined total variation regularization. In the first place, we propose a new regularization term called steering kernel regression total variation (SKRTV), which exploits the local structural regularity properties in natural images. In the second place, another regularization term called non-local total variation (NLTV) is employed as a complementary term in our method, which makes the most of the redundancy of similar patches in natural images. By combining the two complementary regularization terms, we propose a maximum a posteriori probability framework of SR reconstruction. Furthermore, split Bregman iteration is applied to implement the proposed model. Extensive experiments demonstrate the effectiveness of the proposed method. (C) 2014 Elsevier B.V. All rights reserved.
关键词	Super-resolution Total Variation Steering Kernel Regression Split Bregman Iteration Local Structural Regularity Non-local Self-similarity
WOS标题词	Science & Technology ; Technology
关键词[WOS]	KERNEL REGRESSION ; RECONSTRUCTION ; INTERPOLATION ; RESTORATION ; RECOGNITION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000340341400057
引用统计	被引频次：22[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8042
专题	中科院工业视觉智能装备工程实验室_精密感知与控制
作者单位	Univ Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li, Lin,Xie, Yuan,Hu, Wenrui,et al. Single image super-resolution using combined total variation regularization by split Bregman Iteration[J]. NEUROCOMPUTING,2014,142:551-560.
APA	Li, Lin,Xie, Yuan,Hu, Wenrui,&Zhang, Wensheng.(2014).Single image super-resolution using combined total variation regularization by split Bregman Iteration.NEUROCOMPUTING,142,551-560.
MLA	Li, Lin,et al."Single image super-resolution using combined total variation regularization by split Bregman Iteration".NEUROCOMPUTING 142(2014):551-560.

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