Fast localization and single-pixel imaging of the moving object using time-division multiplexing
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.
Cite
@article{arxiv.2208.07371,
title = {Fast localization and single-pixel imaging of the moving object using time-division multiplexing},
author = {Zijun Guo and Wenwen Meng and Dongfeng Shi and Linbin Zha and Wei Yang and Jian Huang and Yafeng Chen and Yingjian Wang},
journal= {arXiv preprint arXiv:2208.07371},
year = {2022}
}
Comments
13 pages,7figures