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Sound recovery via intensity variations of speckle pattern pixels selected with variance-based method
Zhu, Ge; Yao, Xu-Ri; Qiu, Peng; Mahmood, Waqas; Yu, Wen-Kai; Sun, Zhi-Bin; Zhai, Guang-Jie; Zhao, Qing; Zhao, Q (reprint author), Beijing Inst Technol, Ctr Quantum Technol Res, Sch Phys, Beijing, Peoples R China.; Yao, XR (reprint author), Chinese Acad Sci, Key Lab Elect & Informat Technol Space Syst, Natl Space Sci Ctr, Beijing, Peoples R China.
作者部门空间技术部
2018
发表期刊OPTICAL ENGINEERING
ISSN0091-3286
卷号57期号:2页码:26117
摘要In general, the sound waves can cause the vibration of the objects that are encountered in the traveling path. If we make a laser beam illuminate the rough surface of an object, it will be scattered into a speckle pattern that vibrates with these sound waves. Here, an efficient variance-based method is proposed to recover the sound information from speckle patterns captured by a high-speed camera. This method allows us to select the proper pixels that have large variances of the gray-value variations over time, from a small region of the speckle patterns. The gray-value variations of these pixels are summed together according to a simple model to recover the sound with a high signal-to-noise ratio. Meanwhile, our method will significantly simplify the computation compared with the traditional digital-image-correlation technique. The effectiveness of the proposed method has been verified by applying a variety of objects. The experimental results illustrate that the proposed method is robust to the quality of the speckle patterns and costs more than one-order less time to perform the same number of the speckle patterns. In our experiment, a sound signal of time duration 1.876 s is recovered from various objects with time consumption of 5.38 s only. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).
项目资助者National Science Foundation of China [11675014] ; Ministry of Science and Technology of China [2013YQ030595-3] ; National Natural Science Foundation of China [61274024, 61474123] ; National Key Research and Development Plan [2016YFE0131500]
关键词Sound Recovery Laser Speckle Patterns Intensity Variation High-speed Camera
收录类别SCI ; EI
语种英语
文献类型期刊论文
条目标识符http://ir.nssc.ac.cn/handle/122/6206
专题空间技术部
通讯作者Zhao, Q (reprint author), Beijing Inst Technol, Ctr Quantum Technol Res, Sch Phys, Beijing, Peoples R China.; Yao, XR (reprint author), Chinese Acad Sci, Key Lab Elect & Informat Technol Space Syst, Natl Space Sci Ctr, Beijing, Peoples R China.
推荐引用方式
GB/T 7714
Zhu, Ge,Yao, Xu-Ri,Qiu, Peng,et al. Sound recovery via intensity variations of speckle pattern pixels selected with variance-based method[J]. OPTICAL ENGINEERING,2018,57(2):26117.
APA Zhu, Ge.,Yao, Xu-Ri.,Qiu, Peng.,Mahmood, Waqas.,Yu, Wen-Kai.,...&Yao, XR .(2018).Sound recovery via intensity variations of speckle pattern pixels selected with variance-based method.OPTICAL ENGINEERING,57(2),26117.
MLA Zhu, Ge,et al."Sound recovery via intensity variations of speckle pattern pixels selected with variance-based method".OPTICAL ENGINEERING 57.2(2018):26117.
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