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题名: Double-threshold technique for achieving denoising in compressive imaging applications
作者: Wang, Chao; Yao, Xuri; Zhao, Qing
作者部门: 空间技术部
通讯作者: Yao, XR (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Elect & Informat Technol Space Syst, Beijing 100190, Peoples R China.
刊名: CHINESE OPTICS LETTERS
ISSN号: 1671-7694
出版日期: 2017
卷号: 15, 期号:12, 页码:121101
收录类别: SCI ; EI
项目资助者: Science and Technology Innovation Foundation of Chinese Academy of Sciences [CXJJ-16S047] ; Program of International Science and Technology Cooperation [2016YFE0131500] ; National Natural Science Foundation of China [11675014, 61605218, 61601442, 61575207, 61474123] ; National Defense Science and Technology Innovation Foundation of Chinese Academy of Sciences ; National Major Scientific Instruments Development Project of China [2013YQ030595] ; [30102070101]
英文摘要: Single-pixel cameras, which employ either structured illumination or image modulation and compressive sensing algorithms, provide an alternative approach to imaging in scenarios where the use of a detector array is restricted or difficult because of cost or technological constraints. In this work, we present a robust imaging method based on compressive imaging that sets two thresholds to select the measurement data for image reconstruction. The experimental and numerical simulation results show that the proposed double-threshold compressive imaging protocol provides better image quality than previous compressive imaging schemes. Faster imaging speeds can be attained using this scheme because it requires less data storage space and computing time. Thus, this denoising method offers a very effective approach to promote the implementation of compressive imaging in real-time practical applications.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.nssc.ac.cn/handle/122/6125
Appears in Collections:空间技术部_期刊论文

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Recommended Citation:
Wang, Chao,Yao, Xuri,Zhao, Qing. Double-threshold technique for achieving denoising in compressive imaging applications[J]. CHINESE OPTICS LETTERS,2017,15(12):121101.
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