Zhang Zibang, Wang Xueying, Zheng Guoan, Zhong Jingang
Department of Optoelectronic Engineering, Jinan University, Guangzhou, 510632, China.
Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Sci Rep. 2017 Sep 20;7(1):12029. doi: 10.1038/s41598-017-12228-3.
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.
傅里叶单像素成像（FSI）采用傅里叶基模式来编码空间信息，并且能够重建高质量的二维和三维图像。自然场景中的傅里叶域稀疏性使得FSI能够从欠采样数据中恢复清晰的图像。然而，最初的FSI演示需要灰度傅里叶基模式用于照明。这一要求限制了成像速度，因为数字微镜器件（DMD）以低刷新率生成灰度模式。在本文中，我们报告了一种将FSI速度提高两个数量级的新策略。在该策略中，我们基于上采样和误差扩散抖动对傅里叶基模式进行二值化处理。我们使用DMD展示了20000Hz的投影速率，并以每秒10帧的速度捕获256×256像素的动态场景。所报道的技术显著加快了FSI的图像采集速度。它可能在使用传统二维图像传感器无法访问的波段找到广泛的成像应用。
