Scene-adaptive coded aperture imaging

doi:10.1007/s11042-017-5520-1

	Scene-adaptive coded aperture imaging
	Wang, Xuehui 1,2; Dai, Feng 1; Ma, Yike 1; Gao, Ke 1; Zhang, Yong Dong 1
	2019
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
卷号	78 期号:1 页码:697-711
摘要	Coded aperture imaging systems have recently shown great success in recovering scene depth and extending the depth-of-field. Tremendous efforts have been focused on designing good coded patterns. The ideal pattern, however, would have to serve two conflicting purposes: 1) it should be broadband to ensure robust deconvolution and 2) it should have sufficient zero-crossings for a high depth discrepancy. This paper presents a simple but effective scene-adaptive coded aperture solution to bridge this gap. We observe that natural scenes often exhibit a dominant edge direction that can be caused by structure, texture, shading, etc. We therefore apply depth-discriminative codes along the dominant direction and broadband codes along its orthogonal direction. To physically implement this scheme, we adopt a two-shot scheme. Firstly, we capture a scene image with a pinhole aperture and analyze image content to determine the dominant direction. Secondly, we apply the proposed coding scheme using the programmable Liquid Crystal on Silicon (LCoS). Experiments on a broad range of synthetic and real scenes show that our technique is able to combine advantages of the state-of-the-art patterns for recovering better quality depth map and all-focus images.
关键词	Computational imaging Coded-aperture Depth-from-defocus
DOI	10.1007/s11042-017-5520-1
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000457317500039
出版者	SPRINGER
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/3429
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Dai, Feng
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xuehui,Dai, Feng,Ma, Yike,et al. Scene-adaptive coded aperture imaging[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(1):697-711.
APA	Wang, Xuehui,Dai, Feng,Ma, Yike,Gao, Ke,&Zhang, Yong Dong.(2019).Scene-adaptive coded aperture imaging.MULTIMEDIA TOOLS AND APPLICATIONS,78(1),697-711.
MLA	Wang, Xuehui,et al."Scene-adaptive coded aperture imaging".MULTIMEDIA TOOLS AND APPLICATIONS 78.1(2019):697-711.