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	Super Resolution with Edge-Constrained Motion Estimation
	Zhuo, Yue ; Liu, Jiaying ; Li, Mading ; Guo, Zongming
	2012
英文摘要	Motion estimation is a critical step for most reconstruction-based super resolution methods. However, accurate motion estimation is difficult, and the unavoidable error degrades performance of super resolution rapidly. In this paper, we present a robust way to perform super resolution by improving motion estimation. Starting with feature points matching, we compute the local motion parameter of feature point correspondences by using the weighted Lucas-Kanade algorithm. Then accurate motion field is estimated by support region search, which refers to edge information and considers discontinuities of motion boundary and consistency of motion field. Experimental results validate the efficacy of each step in the proposed algorithm and show that it produces super resolved images with higher quality.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000319456200133&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; Telecommunications; EI; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321188]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhuo, Yue,Liu, Jiaying,Li, Mading,et al. Super Resolution with Edge-Constrained Motion Estimation. 2012-01-01.

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