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Sensors 2018, 18(5), 1524; https://doi.org/10.3390/s18051524

A High-Speed Imaging Method Based on Compressive Sensing for Sound Extraction Using a Low-Speed Camera

1
Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China
2
Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
*
Authors to whom correspondence should be addressed.
Received: 18 March 2018 / Revised: 27 April 2018 / Accepted: 4 May 2018 / Published: 11 May 2018
(This article belongs to the Section Physical Sensors)
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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. View Full-Text
Keywords: sound recovery; high-speed imaging; compressive sensing; computational imaging; remote sensing; vibration analysis sound recovery; high-speed imaging; compressive sensing; computational imaging; remote sensing; vibration analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhu, G.; Yao, X.-R.; Sun, Z.-B.; Qiu, P.; Wang, C.; Zhai, G.-J.; Zhao, Q. A High-Speed Imaging Method Based on Compressive Sensing for Sound Extraction Using a Low-Speed Camera. Sensors 2018, 18, 1524.

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