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arXiv · 2208.07371

Fast localization and single-pixel imaging of the moving object using time-division multiplexing

Zijun Guo·Wenwen Meng·Dongfeng Shi·Linbin Zha·Wei Yang·Jian Huang·Yafeng Chen·Yingjian Wang
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Abstract

When imaging moving objects, single-pixel imaging produces motion blur. This paper proposes a new single-pixel imaging method, which can achieve anti-motion blur imaging of a fast-moving object. The geometric moment patterns and Hadamard patterns are used to alternately encode the position information and the image information of the object with time-division multiplexing. In the reconstruction process, the object position information is extracted independently and combining motion-compensation reconstruction algorithm to decouple the object motion from image information. As a result, the anti-motion blur image and the high frame rate object positions are obtained. Experimental results show that for a moving object with an angular velocity of up to 0.5rad/s relative to the imaging system, the proposed method achieves a localization frequency of 5.55kHz, and gradually reconstructs a clear image of the fast-moving object with a pseudo resolution of 512x512. The method has application prospects in single-pixel imaging of the fast-moving object.

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Zijun Guo, Wenwen Meng, Dongfeng Shi, Linbin Zha, Wei Yang, Jian Huang, Yafeng Chen, Yingjian Wang. 2022-08-15. Fast localization and single-pixel imaging of the moving object using time-division multiplexing. https://arxiv.org/abs/2208.07371

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