| A multi-frame image super-resolution method | |
| Li, Xuelong1; Hu, Yanting2; Gao, Xinbo3; Tao, Dacheng4; Ning, Beijia3; X. Li | |
| 作者部门 | 光学影像分析与学习中心 |
| 2010-02-01 | |
| 发表期刊 | SIGNAL PROCESSING
 |
| ISSN | 0165-1684 |
| 卷号 | 90期号:2页码:405-414 |
| 摘要 | Multi-frame image super-resolution (SR) aims to utilize information from a set of low-resolution (LR) images to compose a high-resolution (HR) one. As it is desirable or essential in many real applications, recent years have witnessed the growing interest in the problem of multi-frame SR reconstruction. This set of algorithms commonly utilizes a linear observation model to construct the relationship between the recorded LR images to the unknown reconstructed HR image estimates. Recently, regularization-based schemes have been demonstrated to be effective because SR reconstruction is actually an ill-posed problem. Working within this promising framework, this paper first proposes two new regularization items, termed as locally adaptive bilateral total variation and consistency of gradients, to keep edges and flat regions, which are implicitly described in LR images, sharp and smooth, respectively. Thereafter, the combination of the proposed regularization items is superior to existing regularization items because it considers both edges and flat regions while existing ones consider only edges. Thorough experimental results show the effectiveness of the new algorithm for SR reconstruction. (C) 2009 Elsevier B.V. All rights reserved. |
| 文章类型 | Article |
| 关键词 | Computer Vision Machine Learning Super-resolution Regularization Fuzzy Entropy |
| 学科领域 | 计算机应用其他学科（含图像处理） |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.sigpro.2009.05.028 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | SUPER RESOLUTION ; RECONSTRUCTION ; REGULARIZATION ; FRAMES |
| 语种 | 英语 |
| WOS研究方向 | Engineering |
| WOS类目 | Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000271332100001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/8043 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | X. Li |
| 作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China 2.Xinjiang Med Univ, Sch Med Technol & Engn, Xinjiang 830001, Peoples R China 3.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 4.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore |
| 推荐引用方式 GB/T 7714 | Li, Xuelong,Hu, Yanting,Gao, Xinbo,et al. A multi-frame image super-resolution method[J]. SIGNAL PROCESSING,2010,90(2):405-414. |
| APA | Li, Xuelong,Hu, Yanting,Gao, Xinbo,Tao, Dacheng,Ning, Beijia,&X. Li.(2010).A multi-frame image super-resolution method.SIGNAL PROCESSING,90(2),405-414. |
| MLA | Li, Xuelong,et al."A multi-frame image super-resolution method".SIGNAL PROCESSING 90.2(2010):405-414. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| A multi-frame image （729KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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