Reducing the time necessary to acquire information is highly desirable in almost every context. Ghost imaging is no exception, which is very time consuming due to its scanning nature and low light levels innate to quantum experiments. This work aimed to reduce the time required to reconstruct the image whilst maintaining quality. In doing so, we followed two complementary approaches: one varying the experimental parameters, and another implementing computational processing. We defined a performance measure based on the image reconstruction time and its resemblance to the original object, and determined that the use of image processing and recognition algorithms offers major improvements in temporal efficiency. Importantly, if the main purpose of imaging is solely object recognition, low resolution mask patterns give better results, whereas higher resolution patterns yield better resolved images, at the expense of time. We believe this work will pique interest in the ghost and single-pixel imaging communities.

中文翻译：

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迈向省时的重影成像

几乎在所有情况下都非常需要减少获取信息所需的时间。鬼成像也不例外，由于其扫描性质和量子实验固有的低光级，这非常耗时。这项工作旨在减少重建图像所需的时间，同时保持质量。为此，我们遵循了两种互补的方法：一种改变实验参数，另一种实现计算处理。我们定义了基于图像重建时间及其与原始对象的相似性的性能度量，并确定使用图像处理和识别算法可显着提高时间效率。重要的是，如果成像的主要目的仅仅是物体识别，低分辨率掩模图案会给出更好的结果，而更高分辨率的图案会以时间为代价产生更好的分辨率图像。我们相信这项工作会激起人们对幽灵和单像素成像社区的兴趣。