TY - GEN
T1 - Fast motion estimation of one-dimensional laser speckle image and its application on real-time audio signal acquisition
AU - Wu, Nan
AU - Haruyama, Shinichiro
N1 - Funding Information:
This work was supported by Keio University Doctorate Student Grant-in-Aid Program, Graduate School Recommendation by Graduate School of System Design and Management, Academic Year 2020.
Publisher Copyright:
© 2020 ACM.
PY - 2020/11/27
Y1 - 2020/11/27
N2 - Vibration measurement using laser speckle image, which can precisely detect object vibration without contacting target object, is an appealing topic. However, due to the limitation of image processing speed, previous researches on this topic have not achieved high-speed real-time detection and regeneration of audio signal. In this manuscript, we detect object vibration using one-dimensional laser speckle image. A fast and sub-pixel accuracy algorithm has been proposed to estimate the displacement of captured one-dimensional laser speckle images. Experiment results show that the proposed system can achieve 20kHz rea-time sampling rate, and the high frequency audio signal can be restored with high quality in real time.
AB - Vibration measurement using laser speckle image, which can precisely detect object vibration without contacting target object, is an appealing topic. However, due to the limitation of image processing speed, previous researches on this topic have not achieved high-speed real-time detection and regeneration of audio signal. In this manuscript, we detect object vibration using one-dimensional laser speckle image. A fast and sub-pixel accuracy algorithm has been proposed to estimate the displacement of captured one-dimensional laser speckle images. Experiment results show that the proposed system can achieve 20kHz rea-time sampling rate, and the high frequency audio signal can be restored with high quality in real time.
KW - Image processing
KW - Laser speckle image
KW - Line-scan sensor
KW - Real-time system
UR - http://www.scopus.com/inward/record.url?scp=85105718581&partnerID=8YFLogxK
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U2 - 10.1145/3442555.3442576
DO - 10.1145/3442555.3442576
M3 - Conference contribution
AN - SCOPUS:85105718581
T3 - ACM International Conference Proceeding Series
SP - 128
EP - 134
BT - ICCIP 2020 - 2020 6th International Conference on Communication and Information Processing
PB - Association for Computing Machinery
T2 - 6th International Conference on Communication and Information Processing, ICCIP 2020
Y2 - 27 November 2020 through 29 November 2020
ER -