Sound recovery via intensity variations of speckle pattern pixels selected with variance-based method

Ge Zhu; Xu-Ri Yao; Peng Qiu; Waqas Mahmood; Wen-Kai Yu; Zhi-Bin Sun; Guang-Jie Zhai; Qing Zhao

doi:10.1117/1.OE.57.2.026117

26 February 2018 Sound recovery via intensity variations of speckle pattern pixels selected with variance-based method

Ge Zhu, Xu-Ri Yao, Peng Qiu, Waqas Mahmood, Wen-Kai Yu, Zhi-Bin Sun, Guang-Jie Zhai, Qing Zhao

Author Affiliations +

Funded by: National Science Foundation (NSF), Ministry of Science and Technology of China, National Natural Science Foundation of China (NSFC), National Key Research and Development Plan

Optical Engineering, Vol. 57, Issue 2, 026117 (February 2018). https://doi.org/10.1117/1.OE.57.2.026117

Abstract

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.

Citation Download Citation

Ge Zhu, Xu-Ri Yao, Peng Qiu, Waqas Mahmood, Wen-Kai Yu, Zhi-Bin Sun, Guang-Jie Zhai, and Qing Zhao "Sound recovery via intensity variations of speckle pattern pixels selected with variance-based method," Optical Engineering 57(2), 026117 (26 February 2018). https://doi.org/10.1117/1.OE.57.2.026117

Received: 21 September 2017; Accepted: 1 February 2018; Published: 26 February 2018

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