Complementary fourier single-pixel imaging

Dong Zhou, Jie Cao*, Huan Cui, Qun Hao, Bing Kun Chen, Kai Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Single-pixel imaging, with the advantages of a wide spectrum, beyond-visual-field imag-ing, 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.

Original languageEnglish
Article number6544
JournalSensors
Volume21
Issue number19
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • Complementary nature
  • Fourier patterns
  • Phase-shift algorithm
  • Single-pixel imaging

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