中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Block matching low-rank for ghost imaging

文献类型:期刊论文

作者H.Huang; C.Zhou; W.Gong; L.Song
刊名Optics Express
出版日期2019
卷号27期号:26页码:38624-38634
关键词Imaging techniques,Image quality,Importance sampling,Iterative methods,Signal to noise ratio
ISSN号10944087
DOI10.1364/OE.27.038624
英文摘要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.
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源URL[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
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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.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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