Super Sub-Nyquist Single-Pixel Terahertz Imaging Using Hadamard Basis

被引:1
作者
Guo, J. [1 ,2 ]
Liu, Q. Ch. [1 ,3 ]
Deng, H. [1 ,3 ]
Li, G. L. [1 ,3 ]
Shanga, L. P. [3 ]
机构
[1] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang, Peoples R China
[2] Southwestern Univ Finance & Econ, Tianfu Coll, Mianyang, Peoples R China
[3] Southwest Univ Sci & Technol, Tianfu Inst Res & Innovat, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
terahertz single pixel imaging; compressed sensing; Hadamard basis; Hadamard transform; TVAL3; algorithm;
D O I
10.1007/s10812-023-01645-0
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
We present a super sub-Nyquist Hadamard single-pixel terahertz (THz) imaging system in which the THz waves are modulated by a digital micromirror device and a laser driver. Spatial coding of the THz radiation is performed using the cake-cutting (CC)-order Hadamard basis. THz images are reconstructed from a series of coding sequences of the measurement intensity. We prove that with the use of super sub-Nyquist sampling, single-pixel THz imaging with 87% fidelity and a signal-to-noise ratio of more than 23 dB can be achieved using 10% of the CC-order Hadamard basis patterns. The total variation regularization algorithm is shown to have higher robustness to noise than the Hadamard transform and thus offers a good technical solution for single-pixel THz imaging.
引用
收藏
页码:1149 / 1154
页数:6
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