Block matching low-rank for ghost imaging

doi:10.1364/OE.27.038624

CIOMP OpenIR

	Block matching low-rank for ghost imaging
	H.Huang; C.Zhou; W.Gong; L.Song
	2019
发表期刊	Optics Express
ISSN	10944087
卷号	27 期号:26 页码:38624-38634
摘要	High-quality ghost imaging (GI) under low sampling is very important for scientific research and practical application. How to reconstruct high-quality image from low sampling has always been the focus of ghost imaging research. In this work, based on the hypothesis that the matrix stacked by the vectors of images nonlocal similar patches is of low rank and has sparse singular values, we both theoretically and experimentally demonstrate a method that applies the projected Landweber regularization and blocking matching low-rank denoising to obtain the excellent image under low sampling, which we call blocking matching low-rank ghost imaging (BLRGI). Comparing with these methods of "GI via sparsity constraint," "joint iteration GI" and "total variation based GI," both simulation and experiment show that the BLRGI can obtain better ghost imaging quality with low sampling in terms of peak signal-to-noise ratio, structural similarity index and visual observation. 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
关键词	Imaging techniques,Image quality,Importance sampling,Iterative methods,Signal to noise ratio
DOI	10.1364/OE.27.038624
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收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/63322
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	H.Huang,C.Zhou,W.Gong,et al. Block matching low-rank for ghost imaging[J]. Optics Express,2019,27(26):38624-38634.
APA	H.Huang,C.Zhou,W.Gong,&L.Song.(2019).Block matching low-rank for ghost imaging.Optics Express,27(26),38624-38634.
MLA	H.Huang,et al."Block matching low-rank for ghost imaging".Optics Express 27.26(2019):38624-38634.

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