Single-pixel three-dimensional imaging based on 2D compressed sensing algorithm

被引:0
|
作者
Ouyang, Zongguang [1 ]
Yu, Zhan [1 ,2 ]
Wei, Yi [1 ]
Wang, Daili [1 ]
Kou, Yu [1 ]
Li, Ying [1 ]
Yuan, Sheng [3 ]
Zhang, Zhijian [4 ]
Zhou, Dingfu [4 ]
Zhou, Xin [1 ]
机构
[1] Sichuan Univ, Dept Optoelect Sci & Technol, Chengdu 610065, Peoples R China
[2] Chengdu Univ Technol, Coll Comp Sci & Cyber Secur, Chengdu 610059, Peoples R China
[3] North China Univ Water Resources & Elect Power, Dept Phys & Elect, Zhengzhou 450011, Peoples R China
[4] Key Lab Lidar & Device, Chengdu 610041, Peoples R China
来源
OPTICS EXPRESS | 2025年 / 33卷 / 05期
基金
中国国家自然科学基金;
关键词
RECONSTRUCTION; IMAGES;
D O I
10.1364/OE.550535
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In recent years, non-scanning three-dimensional imaging technology has become increasingly widespread in the field of rapid detection and recognition. Due to the characteristics of integrating signal compression and sampling, compressed sensing only requires a small amount of measurement data to reconstruct the original signal, making itself highly suitable for fast three-dimensional imaging. Based on the proposed new two-dimensional compressed sensing algorithm V2DALM, combined with the time-of-flight measurement principle, this paper achieves single-pixel, non-scanning imaging of three-dimensional objects. The feasibility of algorithm V2DALM in 3D imaging is verified by the principle experimental results. Compared with the other two algorithms 2DPG-ED and TVAL3 in simulation, it can be found that under similar imaging quality, the reconstruction time of algorithm V2DALM is significantly shorter than that of TVAL3; under the same sampling rate, the noise resistance of algorithm V2DALM is significantly better than that of 2DPG-ED. Consequently, this method can be potentially applied to facilitate the rapid reconstruction of high-resolution depth maps of three-dimensional objects.
引用
收藏
页码:10442 / 10453
页数:12
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