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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.
Department空间技术部
Source PublicationOPTICAL ENGINEERING
2018
Volume57Issue:2Pages:26117
ISSN0091-3286
Language英语
KeywordSound Recovery Laser Speckle Patterns Intensity Variation High-speed Camera
AbstractIn 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).
Indexed BySCI ; EI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6206
Collection空间技术部
Corresponding AuthorZhao, 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.
Recommended Citation
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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201857226117.pdf(2132KB)期刊论文作者接受稿开放获取CC BY-NC-SAApplication Full Text
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