Single-pixel imaging with origami pattern construction

Wen Kai Yu*, Yi Ming Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

Abstract

Single-pixel compressive imaging can recover images from fewer measurements, offering many benefits especially for the imaging modalities where array detection is unavailable. However, the widely used random projections fail to explore internal relations between coding patterns and image reconstruction. Here, we propose a single-pixel imaging method based on a deterministic origami pattern construction that can lead to a more accurate pattern ordering sequence and better imaging quality. It can decrease the sampling ratio, closer to the upper bounds. The experimental realization of this approach is a big step forward towards practical applications.

Original languageEnglish
Article number5135
JournalSensors
Volume19
Issue number23
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • Compressed sensing
  • Computational imaging
  • Efficient data acquisition
  • Ghost imaging
  • Image reconstruction
  • Pattern construction
  • Single-pixel imaging
  • Sub-Nyquist sampling

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