Exposure Fusion Using Boosting Laplacian Pyramid

doi:10.1109/TCYB.2013.2290435

OPT OpenIR > 光谱成像技术研究室

	Exposure Fusion Using Boosting Laplacian Pyramid
	Shen, Jianbing 1; Zhao, Ying 1; Yan, Shuicheng 2; Li, Xuelong3
作者部门	光学影像学习与分析中心
	2014-09-01
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
卷号	44 期号:9 页码:1579-1590
摘要	This paper proposes a new exposure fusion approach for producing a high quality image result from multiple exposure images. Based on the local weight and global weight by considering the exposure quality measurement between different exposure images, and the just noticeable distortion-based saliency weight, a novel hybrid exposure weight measurement is developed. This new hybrid weight is guided not only by a single image's exposure level but also by the relative exposure level between different exposure images. The core of the approach is our novel boosting Laplacian pyramid, which is based on the structure of boosting the detail and base signal, respectively, and the boosting process is guided by the proposed exposure weight. Our approach can effectively blend the multiple exposure images for static scenes while preserving both color appearance and texture structure. Our experimental results demonstrate that the proposed approach successfully produces visually pleasing exposure fusion images with better color appearance and more texture details than the existing exposure fusion techniques and tone mapping operators.
文章类型	Article
关键词	Boosting Laplacian Pyramid Exposure Fusion Global And Local Exposure Weight Gradient Vector
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TCYB.2013.2290435
收录类别	SCI ; EI
关键词[WOS]	DYNAMIC-RANGE IMAGES ; ENHANCEMENT ; SCENES ; TONE
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000342227500009
引用统计	被引频次：125[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/22367
专题	光谱成像技术研究室
作者单位	1.Beijing Inst Technol, Sch Comp Sci, Beijing Key Lab Intelligent Informat Technol, Beijing 100081, Peoples R China 2.Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, Singapore 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Peoples R China
推荐引用方式 GB/T 7714	Shen, Jianbing,Zhao, Ying,Yan, Shuicheng,et al. Exposure Fusion Using Boosting Laplacian Pyramid[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014,44(9):1579-1590.
APA	Shen, Jianbing,Zhao, Ying,Yan, Shuicheng,&Li, Xuelong.(2014).Exposure Fusion Using Boosting Laplacian Pyramid.IEEE TRANSACTIONS ON CYBERNETICS,44(9),1579-1590.
MLA	Shen, Jianbing,et al."Exposure Fusion Using Boosting Laplacian Pyramid".IEEE TRANSACTIONS ON CYBERNETICS 44.9(2014):1579-1590.

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
Exposure Fusion Usin（42873KB）	期刊论文	出版稿	限制开放	CC BY	请求全文