Sun Ming-Jie, Edgar Matthew P, Phillips David B, Gibson Graham M, Padgett Miles J
Opt Express. 2016 May 16;24(10):10476-85. doi: 10.1364/OE.24.010476.
Single-pixel cameras provide a means to perform imaging at wavelengths where pixelated detector arrays are expensive or limited. The image is reconstructed from measurements of the correlation between the scene and a series of masks. Although there has been much research in the field in recent years, the fact that the signal-to-noise ratio (SNR) scales poorly with increasing resolution has been one of the main limitations prohibiting the uptake of such systems. Microscanning is a technique that provides a final higher resolution image by combining multiple images of a lower resolution. Each of these low resolution images is subject to a sub-pixel sized lateral displacement. In this work we apply a digital microscanning approach to an infrared single-pixel camera. Our approach requires no additional hardware, but is achieved simply by using a modified set of masks. Compared to the conventional Hadamard based single-pixel imaging scheme, our proposed framework improves the SNR of reconstructed images by ∼ 50 % for the same acquisition time. In addition, this strategy also provides access to a stream of low-resolution 'preview' images throughout each high-resolution acquisition.
单像素相机提供了一种在像素化探测器阵列昂贵或受限的波长下进行成像的方法。图像是通过对场景与一系列掩模之间的相关性测量来重建的。尽管近年来该领域已有很多研究，但信噪比（SNR）随分辨率增加而扩展性不佳这一事实一直是阻碍此类系统应用的主要限制因素之一。微扫描是一种通过组合多个低分辨率图像来提供最终高分辨率图像的技术。这些低分辨率图像中的每一个都经历亚像素尺寸的横向位移。在这项工作中，我们将数字微扫描方法应用于红外单像素相机。我们的方法不需要额外的硬件，而是简单地通过使用一组经过修改的掩模来实现。与传统的基于哈达玛的单像素成像方案相比，在相同的采集时间内，我们提出的框架将重建图像的信噪比提高了约50%。此外，该策略还能在每次高分辨率采集过程中提供一系列低分辨率“预览”图像。
