Morris Peter A, Aspden Reuben S, Bell Jessica E C, Boyd Robert W, Padgett Miles J
School of Physics and Astronomy, University of Glasgow, University Avenue, Kelvin Building, Glasgow G12 8QQ, UK.
1] Department of Physics, University of Ottawa, Ottawa, Ontario, Canada K1N 6N5 [2] The Institute of Optics and Department of Physics and Astronomy, University of Rochester, Rochester, New York 14627, USA.
Nat Commun. 2015 Jan 5;6:5913. doi: 10.1038/ncomms6913.
Low-light-level imaging techniques have application in many diverse fields, ranging from biological sciences to security. A high-quality digital camera based on a multi-megapixel array will typically record an image by collecting of order 10(5) photons per pixel, but by how much could this photon flux be reduced? In this work we demonstrate a single-photon imaging system based on a time-gated intensified camera from which the image of an object can be inferred from very few detected photons. We show that a ghost-imaging configuration, where the image is obtained from photons that have never interacted with the object, is a useful approach for obtaining images with high signal-to-noise ratios. The use of heralded single photons ensures that the background counts can be virtually eliminated from the recorded images. By applying principles of image compression and associated image reconstruction, we obtain high-quality images of objects from raw data formed from an average of fewer than one detected photon per image pixel.
低光照水平成像技术在从生物科学到安全等众多不同领域都有应用。基于数百万像素阵列的高质量数码相机通常通过每个像素收集约10⁵个光子来记录图像,但这种光子通量能降低多少呢?在这项工作中,我们展示了一种基于时间选通增强相机的单光子成像系统,从极少检测到的光子中就能推断出物体的图像。我们表明,一种鬼成像配置,即从从未与物体相互作用的光子中获取图像,是获得高信噪比图像的一种有用方法。使用预示单光子可确保在记录的图像中几乎消除背景计数。通过应用图像压缩原理和相关的图像重建,我们从每个图像像素平均少于一个检测到的光子形成的原始数据中获得了物体的高质量图像。