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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
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Single-Pixel Imaging with Origami Pattern Construction.

Wen-Kai Yu1,2, Yi-Ming Liu3

  • 1Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|November 28, 2019
PubMed
Summary
This summary is machine-generated.

We developed a new single-pixel compressive imaging method using deterministic origami patterns. This approach improves imaging quality and reduces the number of measurements needed for accurate image reconstruction.

Keywords:
compressed sensingcomputational imagingefficient data acquisitionghost imagingimage reconstructionpattern constructionsingle-pixel imagingsub-Nyquist sampling

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Area of Science:

  • Optics and photonics
  • Computational imaging

Background:

  • Single-pixel compressive imaging (CPI) recovers images using fewer measurements, beneficial for modalities lacking array detectors.
  • Current CPI methods often use random projections, neglecting pattern-image relationships.

Purpose of the Study:

  • To introduce a novel CPI method utilizing deterministic origami patterns.
  • To enhance pattern ordering and improve image reconstruction quality.

Main Methods:

  • Developed a deterministic origami pattern construction for coding sequences.
  • Implemented and experimentally validated the origami-based CPI approach.

Main Results:

  • Achieved more accurate pattern ordering compared to random projections.
  • Demonstrated improved imaging quality and reduced sampling ratios.
  • Experimental realization confirmed the method's viability.

Conclusions:

  • Deterministic origami patterns offer a superior alternative to random projections in CPI.
  • This method advances practical applications of single-pixel imaging.