Efficient spectral single-pixel imaging via Morton frequency-domain scanning [Invited]

Zi Dong Zhao, Zhao Hua Yang, Zhi Hao Zhao, Ling An Wu, Yuan Jin Yu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Single-pixel imaging (SPI) captures two-dimensional images utilizing a sequence of modulation patterns and measurements recorded by a single-pixel detector. However, the sequential measurement of a scene is time-consuming, especially for high-spatial-resolution imaging. Furthermore, for spectral SPI, the enormous data storage and processing time requirements substantially diminish imaging efficiency. To reduce the required number of patterns, we propose a strategy by optimizing a Hadamard pattern sequence via Morton frequency domain scanning to enhance the quality of a reconstructed spectral cube at low sampling rates. Additionally, we expedite spectral cube reconstruction, eliminating the necessity for a large Hadamard matrix. We demonstrate the effectiveness of our approach through both simulation and experiment, achieving sub-Nyquist sampling of a three-dimensional spectral cube with a spatial resolution of 256 × 256 pixels and 181 spectral bands and a reduction in reconstruction time by four orders of magnitude. Consequently, our method offers an efficient solution for compressed spectral imaging.

Original languageEnglish
Article number060003
JournalChinese Optics Letters
Volume22
Issue number6
DOIs
Publication statusPublished - 10 Jun 2024

Keywords

  • optimized Hadamard basis
  • single-pixel imaging
  • spectral imaging

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