Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Key Laboratory of Airborne Optical Imaging and Measurement, Chinese Academy of Sciences, Changchun 130033, China.
Sensors (Basel). 2020 Mar 17;20(6):1674. doi: 10.3390/s20061674.
Single-pixel imaging techniques extend the time dimension to reconstruct a target scene in the spatial domain based on single-pixel detectors. Structured light illumination modulates the target scene by utilizing multi-pattern projection, and the reflected or transmitted light is measured by a single-pixel detector as total intensity. To reduce the imaging time and capture high-quality images with a single-pixel imaging technique, orthogonal patterns have been used instead of random patterns in recent years. The most representative among them are Hadamard patterns and Fourier sinusoidal patterns. Here, we present an alternative Fourier single-pixel imaging technique that can reconstruct high-quality images with an intensity correlation algorithm using acquired Fourier positive-negative images. We use the Fourier matrix to generate sinusoidal and phase-shifting sinusoid-modulated structural illumination patterns, which correspond to Fourier negative imaging and positive imaging, respectively. The proposed technique can obtain two centrosymmetric images in the intermediate imaging course. A high-quality image is reconstructed by applying intensity correlation to the negative and positive images for phase compensation. We performed simulations and experiments, which obtained high-quality images, demonstrating the feasibility of the methods. The proposed technique has the potential to image under sub-sampling conditions.
单像素成像技术通过单像素探测器在空域中扩展时间维度，从而重构目标场景。结构光照明通过利用多模式投影来调制目标场景，反射或透射光由单像素探测器作为总强度进行测量。为了减少成像时间并使用单像素成像技术捕获高质量的图像，近年来已经使用正交图案代替随机图案。其中最具代表性的是 Hadamard 图案和傅里叶正弦图案。在这里，我们提出了一种替代的傅里叶单像素成像技术，该技术可以使用采集的傅里叶正负图像通过强度相关算法来重建高质量的图像。我们使用傅里叶矩阵生成正弦和相移正弦调制结构照明图案，它们分别对应于傅里叶负成像和正成像。所提出的技术可以在中间成像过程中获得两个中心对称的图像。通过对负像和正像进行强度相关处理进行相位补偿，可以重建高质量的图像。我们进行了模拟和实验，获得了高质量的图像，证明了该方法的可行性。该技术有可能在欠采样条件下进行成像。
