  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.
