Rongbin She, Wenquan Liu, Yuanfu Lu, Zhisheng Zhou, Guangyuan Li
We propose and demonstrate single-pixel terahertz imaging based on spatial Fourier spectrum (SFS). The concept and the operation principle of this novel approach are introduced by comparing with the conventional compressing sensing (CS) approach, clarifying their similarities and differences. By doing this, we find that these two different approaches can share the same photo-induced coded aperture setup, facilitating their direct comparisons. Our results show that, compared with the CS approach, the SFS approach can reconstruct high-quality images with greatly reduced number of measurements, i.e., the sampling ratio, and is thus more efficient. Remarkably, the SFS-based system is capable to assemble a 64x64 image with signal-to-noise ratio of 6.0 for a sampling ratio of only 4.8%. We further show that deep photo-induced terahertz modulation by adopting graphene on silicon substrate and high laser power can significantly improve the image quality. We expect this work will speed up the efficiency of single-pixel THz imaging and advance THz imaging applications.
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