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Complementary Fourier Single-Pixel Imaging

文献类型： 外文期刊

作者： Zhou, Dong 1 ; Cao, Jie 1 ; Cui, Huan 1 ; Hao, Qun 1 ; Chen, Bing-kun 1 ; Lin, Kai 2 ;

作者机构： 1.Beijing Inst Technol, Key Lab Biomimet Robots & Syst, Sch Opt & Photon, Beijing 100081, Peoples R China

2.Beijing Fisheries Res Inst, Beijing 100068, Peoples R China

关键词： single-pixel imaging; Fourier patterns; complementary nature; phase-shift algorithm

期刊名称：SENSORS （ 影响因子：3.576； 五年影响因子：3.735 ）

ISSN：

年卷期： 2021 年 21 卷 19 期

页码：

收录情况： SCI

摘要： Single-pixel imaging, with the advantages of a wide spectrum, beyond-visual-field imaging, and robustness to light scattering, has attracted increasing attention in recent years. Fourier single-pixel imaging (FSI) can reconstruct sharp images under sub-Nyquist sampling. However, the conventional FSI has difficulty balancing imaging quality and efficiency. To overcome this issue, we proposed a novel approach called complementary Fourier single-pixel imaging (CFSI) to reduce the number of measurements while retaining its robustness. The complementary nature of Fourier patterns based on a four-step phase-shift algorithm is combined with the complementary nature of a digital micromirror device. CFSI only requires two phase-shifted patterns to obtain one Fourier spectral value. Four light intensity values are obtained by loading the two patterns, and the spectral value is calculated through differential measurement, which has good robustness to noise. The proposed method is verified by simulations and experiments compared with FSI based on two-, three-, and four-step phase shift algorithms. CFSI performed better than the other methods under the condition that the best imaging quality of CFSI is not reached. The reported technique provides an alternative approach to realize real-time and high-quality imaging.

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