# Single-pixel imaging with origami pattern construction

## TL;DR

This paper introduces an origami-based pattern construction method for single-pixel imaging that improves image quality, reduces pattern sequence uncertainty, and achieves super sub-Nyquist sampling at very low sampling ratios, advancing real-time compressive video applications.

## Contribution

The paper presents a novel origami pattern construction approach for single-pixel imaging, enhancing image quality and reducing sampling requirements compared to traditional random patterns.

## Key findings

- Achieves super sub-Nyquist sampling at 0.5% ratio.
- Improves image quality over random pattern methods.
- Facilitates real-time compressive video imaging.

## Abstract

Single-pixel compressive imaging can recover images from a small amount of measurements, offering many benefits especially for the scenes where the array detection is unavailable. However, the widely used random patterns fail to explore internal relations between the patterns and the image reconstruction. Here we propose a single-pixel imaging method based on origami pattern construction with a better imaging quality, but with less uncertainty of the pattern sequence. It can decrease the sampling ratio even to 0.5\%, really realizing super sub-Nyquist sampling. The experimental realization of this approach is a big step forward toward the real-time compressive video applications.