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Scientific Reports· 2017Q1

Fast Fourier single-pixel imaging via binary illumination

Zibang Zhang, Xueying Wang, Guoan Zheng, Jingang Zhong

Short summary

A new strategy binarizes Fourier basis patterns, enabling Fourier single-pixel imaging (FSI) at a 20,000 Hz projection rate and capturing dynamic scenes at 10 frames per second, a two-order-of-magnitude speed increase.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Introduced a binarization strategy for Fourier basis patterns in FSI.
  • Achieved a 20,000 Hz projection rate using a DMD.
  • Enabled capture of 256x256 dynamic scenes at 10 frames per second.
  • Demonstrated a two-order-of-magnitude increase in FSI speed.

AI-generated from the title and abstract; the full text is not read.

Abstract

Fourier single-pixel imaging (FSI) employs Fourier basis patterns for encoding spatial information and is capable of reconstructing high-quality two-dimensional and three-dimensional images. Fourier-domain sparsity in natural scenes allows FSI to recover sharp images from undersampled data. The original FSI demonstration, however, requires grayscale Fourier basis patterns for illumination. This requirement imposes a limitation on the imaging speed as digital micro-mirror devices (DMDs) generate grayscale patterns at a low refreshing rate. In this paper, we report a new strategy to increase the speed of FSI by two orders of magnitude. In this strategy, we binarize the Fourier basis patterns based on upsampling and error diffusion dithering. We demonstrate a 20,000 Hz projection rate using a DMD and capture 256-by-256-pixel dynamic scenes at a speed of 10 frames per second. The reported technique substantially accelerates image acquisition speed of FSI. It may find broad imaging applications at wavebands that are not accessible using conventional two-dimensional image sensors.

The authors' abstract, as published at the source. Scientific Reports, 2017 · DOI ↗

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Field: Acoustics and Ultrasonics

Acoustics and UltrasonicsPhysics and Astronomy