Parallel ghost imaging with extra large field of view and high pixel resolution

Ghost imaging (GI) facilitates image acquisition under low-light conditions through single-pixel measurements, thus holding tremendous potential across various fields such as biomedical imaging, remote sensing, defense and military applications, and 3D imaging. However, in order to reconstruct high-resolution images, GI typically requires a large number of single-pixel measurements, which imposes practical limitations on its application. Parallel ghost imaging addresses this issue by utilizing each pixel of a position-sensitive detector as a bucket detector to simultaneously perform tens of thousands of ghost imaging measurements in parallel. In this work, we explore the non-local characteristics of ghost imaging in depth, and by constructing a large speckle space, we achieve a reconstruction result in parallel ghost imaging where the field of view surpasses the limitations of the reference arm detector. Using a computational ghost imaging framework, after pre-recording the speckle patterns, we are able to complete ghost imaging at a speed of 6 minutes per sample, with image dimensions of 14000×10000 pixels (4.55mm×3.25mm, millimeter-scale field of view) and a pixel resolution of 0.325 μm (sub-micron pixel resolution). We present this framework to enhance efficiency, extend resolution, and dramatically expand the field of view, with the aim of providing a solution for the practical implementation of ghost imaging. From a commercialization perspective, the ultimate form of this work may be achieved with just a very inexpensive detector featuring a large field of view and large pixel size, alongside a high-resolution detector with only a single pixel. This represents a framework that is completely opposite to conventional ghost imaging.