Hoshi Ikuo, Shimobaba Tomoyoshi, Kakue Takashi, Ito Tomoyoshi
Graduate School of Engineering, Chiba-University, 1-33, Yayoi-cho, Inage-ku, Chiba, Japan.
Sci Rep. 2022 Aug 18;12(1):14097. doi: 10.1038/s41598-022-18187-8.
Unlike conventional imaging, the single-pixel imaging technique uses a single-element detector, which enables high sensitivity, broad wavelength, and noise robustness imaging. However, it has several challenges, particularly requiring extensive computations for image reconstruction with high image quality. Therefore, high-performance computers are required for real-time reconstruction with higher image quality. In this study, we developed a compact dedicated computer for single-pixel imaging using a system on a chip field-programmable gate array (FPGA), which enables real-time reconstruction at 40 frames per second with an image size of 128 × 128 pixels. An FPGA circuit was implemented with the proposed reconstruction algorithm to obtain higher image quality by introducing encoding mask pattern optimization. The dedicated computer can accelerate the reconstruction 10 times faster than a recent CPU. Because it is very compact compared with typical computers, it can expand the application of single-pixel imaging to the Internet of Things and outdoor applications.
与传统成像不同，单像素成像技术使用单元素探测器，这使得它能够进行高灵敏度、宽波长和抗噪声成像。然而，它也面临一些挑战，特别是在以高质量进行图像重建时需要大量计算。因此，为了以更高的图像质量进行实时重建，需要高性能计算机。在本研究中，我们使用片上系统现场可编程门阵列（FPGA）开发了一种用于单像素成像的紧凑型专用计算机，它能够以每秒40帧的速度对大小为128×128像素的图像进行实时重建。通过引入编码掩膜图案优化，采用所提出的重建算法实现了FPGA电路，以获得更高的图像质量。该专用计算机的重建速度比最近的CPU快10倍。由于与典型计算机相比它非常紧凑，因此可以将单像素成像的应用扩展到物联网和户外应用中。
