Meng Wenwen, Shi Dongfeng, Yang Wei, Zha Linbin, Zhao Yuefeng, Wang Yingjian
School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China.
Advanced Laser Technology Laboratory of Anhui Province, Hefei 230037, China.
Sensors (Basel). 2022 Apr 22;22(9):3211. doi: 10.3390/s22093211.
Single-pixel imaging (SPI) is a new type of imaging technology that uses a non-scanning single-pixel detector to image objects and has important application prospects and value in many fields. Most of the modulators currently used in SPI systems are digital micromirror device (DMD) modulators, which use a higher frequency for binary modulation than other alternatives. When modulating grayscale information, the modulation frequency is significantly reduced. This paper conducts research on multiple discrete objects in a scene and proposes using binary patterns to locate and image these objects. Compared with the existing methods of using gray patterns to locate and image multiple objects, the method proposed in this paper is more suitable for DMD-type SPI systems and has wider applicability and greater prospects. The principle of the proposed method is introduced, and the effectiveness of the method is experimentally verified. The experimental results show that, compared to traditional SPI methods, the number of patterns required by the proposed method is reduced by more than 85%.
单像素成像（SPI）是一种新型成像技术，它使用非扫描单像素探测器对物体进行成像，在许多领域具有重要的应用前景和价值。目前SPI系统中使用的大多数调制器是数字微镜器件（DMD）调制器，其用于二进制调制的频率高于其他替代方案。在调制灰度信息时，调制频率会显著降低。本文针对场景中的多个离散物体进行研究，提出使用二进制图案对这些物体进行定位和成像。与现有的使用灰度图案对多个物体进行定位和成像的方法相比，本文提出的方法更适用于DMD型SPI系统，具有更广泛的适用性和更大的前景。介绍了所提方法的原理，并通过实验验证了该方法的有效性。实验结果表明，与传统的SPI方法相比，所提方法所需的图案数量减少了85%以上。
