Wang Yunlong, Wang Feiran, Liu Ruifeng, Zhang Pei, Gao Hong, Li Fuli
Opt Express. 2019 Mar 4;27(5):5973-5981. doi: 10.1364/OE.27.005973.
In this paper, we propose an approach to achieve a sub-Rayleigh resolution image in a single-pixel imaging system. In our scheme, Gaussian- and doughnut-shaped spots are used to alternatively illuminate an object and a single-pixel detector located after the object is employed to collect the transmitted light as two bucket signals, respectively. The image is reconstructed by assigning the difference of the bucket signals to the central position of the illumination spot. In this way, the spatial resolution of the resulting image is determined by the width of subtraction of the two spots. Combined with the deconvolution algorithm, we achieve a spatial resolution beyond the Rayleigh limit of single-pixel imaging by a factor of 22. We also propose a differential algorithm to keep the visibility of single-pixel imaging at a high level, which will be more suitable for applications.
在本文中，我们提出了一种在单像素成像系统中实现亚瑞利分辨率图像的方法。在我们的方案中，高斯光斑和甜甜圈形光斑被交替用于照亮物体，并且使用位于物体之后的单像素探测器分别收集透射光作为两个桶信号。通过将桶信号的差值分配到照明光斑的中心位置来重建图像。通过这种方式，所得图像的空间分辨率由两个光斑相减的宽度决定。结合去卷积算法，我们实现了单像素成像的空间分辨率超越瑞利极限22倍。我们还提出了一种差分算法，以将单像素成像的可见度保持在较高水平，这将更适合于应用。
