Zernike-Moment-Based Image Super Resolution
文献类型：期刊论文
| 作者 | Gao, Xinbo1; Wang, Qian1; Li, Xuelong2; Tao, Dacheng3; Zhang, Kaibing1 |
| 刊名 | ieee transactions on image processing
 |
| 出版日期 | 2011-10-01 |
| 卷号 | 20期号:10页码:2738-2747 |
| 关键词 | Fuzzy motion estimation image super resolution (SR) Zernike moment |
| ISSN号 | 1057-7149 |
| 产权排序 | 2 |
| 合作状况 | 国内 |
| 英文摘要 | multiframe super-resolution (sr) reconstruction aims to produce a high-resolution (hr) image using a set of low-resolution (lr) images. in the process of reconstruction, fuzzy registration usually plays a critical role. it mainly focuses on the correlation between pixels of the candidate and the reference images to reconstruct each pixel by averaging all its neighboring pixels. therefore, the fuzzy-registration-based sr performs well and has been widely applied in practice. however, if some objects appear or disappear among lr images or different angle rotations exist among them, the correlation between corresponding pixels becomes weak. thus, it will be difficult to use lr images effectively in the process of sr reconstruction. moreover, if the lr images are noised, the reconstruction quality will be affected seriously. to address or at least reduce these problems, this paper presents a novel sr method based on the zernike moment, to make the most of possible details in each lr image for high-quality sr reconstruction. experimental results show that the proposed method outperforms existing methods in terms of robustness and visual effects. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | 信号与模式识别 |
| 类目[WOS] | computer science, artificial intelligence ; engineering, electrical & electronic |
| 研究领域[WOS] | computer science ; engineering |
| 关键词[WOS] | superresolution image ; reconstruction ; restoration ; recognition ; algorithms ; noisy |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000295008100004 |
| 公开日期 | 2011-12-27 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/14378]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia |
| 推荐引用方式 GB/T 7714 | Gao, Xinbo,Wang, Qian,Li, Xuelong,et al. Zernike-Moment-Based Image Super Resolution[J]. ieee transactions on image processing,2011,20(10):2738-2747. |
| APA | Gao, Xinbo,Wang, Qian,Li, Xuelong,Tao, Dacheng,&Zhang, Kaibing.(2011).Zernike-Moment-Based Image Super Resolution.ieee transactions on image processing,20(10),2738-2747. |
| MLA | Gao, Xinbo,et al."Zernike-Moment-Based Image Super Resolution".ieee transactions on image processing 20.10(2011):2738-2747. |
入库方式： OAI收割
来源：西安光学精密机械研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。