Single image super-resolution using combined total variation regularization by split Bregman Iteration
文献类型：期刊论文
| 作者 | Li, Lin ; Xie, Yuan; Hu, Wenrui; Zhang, Wensheng
|
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2014-10-22 |
| 卷号 | 142页码:551-560 |
| 关键词 | Super-resolution Total variation Steering kernel regression Split Bregman iteration Local structural regularity Non-local self-similarity |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | KERNEL REGRESSION ; RECONSTRUCTION ; INTERPOLATION ; RESTORATION ; RECOGNITION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000340341400057 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8042]  |
| 专题 | 精密感知与控制研究中心_精密感知与控制 |
| 作者单位 | Univ Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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