Abstract：
Single-pixel cameras offer improved performance in non-visible imaging compared with modern digital cameras which capture images with an array of detector pixels. However, the quality of the images reconstructed by single-pixel imaging technology fails to match traditional cameras. Since it requires a sequence of measurements to retrieve a single image, the temporal fluctuation of illumination intensity during the measuring will cause inconsistence for consecutive measurements and thus noise in reconstructed images. In this paper, a normalization protocol utilizing the differential measurements in single-pixel imaging is proposed to reduce such inconsistence with no additional hardware required. Numerical and practical experiments are performed to investigate the influences of temporal fluctuation of different degrees on image quality and to demonstrate the feasibility of the proposed normalization protocol. Experimental results show that our normalization protocol can match the performance of the system with the reference arm. The proposed normalization protocol is straightforward with the potential to be easily applied in any temporal-sequence imaging strategy.
摘要：
与使用检测器像素阵列捕获图像的现代数码相机相比，单像素相机在不可见成像方面提供了改进的性能。然而,单像素成像技术重建的图像质量无法与传统相机相比。因为它需要一系列测量来检索单个图像，在测量过程中照明强度的时间波动将导致连续测量的不一致，从而导致重建图像中的噪声。在本文中,提出了一种在单像素成像中利用差分测量的归一化协议，以减少这种不一致，而不需要额外的硬件。进行了数值和实际实验，以研究不同程度的时间波动对图像质量的影响，并证明了所提出的归一化协议的可行性。实验结果表明，我们的归一化协议可以将系统的性能与参考臂相匹配。所提出的归一化协议是简单的，有可能容易地应用于任何时间序列成像策略。
