A High-Speed Imaging Method Based on Compressive Sensing for Sound Extraction Using a Low-Speed Camera | |
Zhu, Ge; Yao, Xu-Ri; Sun, Zhi-Bin; Qiu, Peng; Wang, Chao; Zhai, Guang-Jie; Zhao, Qing; Zhao, Q (reprint author), Beijing Inst Technol, Sch Phys, Ctr Quantum Technol Res, Beijing 100081, Peoples R China.; Yao, XR (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Elect & Informat Technol Space Syst, Beijing 100190, Peoples R China. | |
Department | 空间技术部 |
Source Publication | SENSORS
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2018 | |
Volume | 18Issue:5Pages:1524 |
ISSN | 1424-8220 |
Language | 英语 |
Keyword | Sound Recovery High-speed Imaging Compressive Sensing Computational Imaging Remote Sensing Vibration Analysis |
Abstract | This paper reports an efficient method for sound extraction from high-speed light spot videos reconstructed from the coded light spot images captured with a low-speed camera based on compressive sensing, but at the expense of consuming time. The proposed method first gets the high-speed video of the light spot that is illuminated on the vibrating target caused by sound. Then the centroid of the light spot is used to recover the sound. Simulations of the proposed method are carried out and experimental results are demonstrated. The results show that high-speed videos with a frame rate of 2000 Hz can be reconstructed with a low-speed (100 Hz) charge-coupled device (CCD) camera, which is randomly modulated by a digital micro-mirror device (DMD) 20 times during each exposure time. This means a speed improvement of 20 times is achieved. The effects of synchronization between CCD image recording and DMD modulation, the optimal sampling patterns of DMD, and sound vibration amplitudes on the performance of the proposed method are evaluated. Using this compressive camera, speech (counting from one to four in Chinese) was recovered well. This has been confirmed by directly listening to the recovered sound, and the intelligibility value (0-1) that evaluated the similarity between them was 0.8185. Although we use this compressive camera for sound detection, we expect it to be useful in applications related to vibration and motion. |
Indexed By | SCI |
Document Type | 期刊论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/6392 |
Collection | 空间技术部 |
Corresponding Author | Zhao, Q (reprint author), Beijing Inst Technol, Sch Phys, Ctr Quantum Technol Res, Beijing 100081, Peoples R China.; Yao, XR (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Elect & Informat Technol Space Syst, Beijing 100190, Peoples R China. |
Recommended Citation GB/T 7714 | Zhu, Ge,Yao, Xu-Ri,Sun, Zhi-Bin,et al. A High-Speed Imaging Method Based on Compressive Sensing for Sound Extraction Using a Low-Speed Camera[J]. SENSORS,2018,18(5):1524. |
APA | Zhu, Ge.,Yao, Xu-Ri.,Sun, Zhi-Bin.,Qiu, Peng.,Wang, Chao.,...&Yao, XR .(2018).A High-Speed Imaging Method Based on Compressive Sensing for Sound Extraction Using a Low-Speed Camera.SENSORS,18(5),1524. |
MLA | Zhu, Ge,et al."A High-Speed Imaging Method Based on Compressive Sensing for Sound Extraction Using a Low-Speed Camera".SENSORS 18.5(2018):1524. |
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File Name/Size | DocType | Version | Access | License | ||
20181851524.pdf(6972KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | Application Full Text |
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