Zernike-Moment-Based Image Super Resolution

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Zernike-Moment-Based Image Super Resolution
	Gao, Xinbo 1; Wang, Qian 1; Li, Xuelong 2; Tao, Dacheng 3; Zhang, Kaibing 1
刊名	ieee transactions on image processing
	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.
学科主题	信号与模式识别
WOS标题词	science & technology ; technology
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
内容类型	期刊论文
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.