A multi-exposure fusion method based on locality properties

CORC > 北京大学 > 信息科学技术学院

	A multi-exposure fusion method based on locality properties
	Bai, Yuanchao ; Jia, Huizhu ; Liu, Hengjin ; Xiang, Guoqing ; Xie, Xiaodong ; Jiang, Ming ; Gao, Wen ; Jia, Huizhu
刊名	lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics
	2014
英文摘要	A new method is proposed for fusing a multi-exposure sequence of images into a high quality image based on the locality properties of the sequence. We divide the images into uniform blocks and use variance to represent the information of blocks. The richest information (RI) image is computed by piecing together blocks with largest variances. We assume that images in the sequence are high dimensional data points lying on the same neighbourhood and borrow the idea from locally linear embedding (LLE) to fuse a result image which is closest to the RI image. The result is comparable to the state-of-art tone mapping operators and other exposure fusion methods. ? Springer International Publishing Switzerland 2014.; EI; 0; 333-342; 8879
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/327814]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Bai, Yuanchao,Jia, Huizhu,Liu, Hengjin,et al. A multi-exposure fusion method based on locality properties[J]. lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics,2014.
APA	Bai, Yuanchao.,Jia, Huizhu.,Liu, Hengjin.,Xiang, Guoqing.,Xie, Xiaodong.,...&Jia, Huizhu.(2014).A multi-exposure fusion method based on locality properties.lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics.
MLA	Bai, Yuanchao,et al."A multi-exposure fusion method based on locality properties".lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics (2014).