Modern cameras typically use an array of millions of detector pixels to capture images. By
contrast, single-pixel cameras use a sequence of mask patterns to filter the scene along with …

Since their inception in the 1930–1960s, the research disciplines of computational imaging
and machine learning have followed parallel tracks and, during the last two decades …

Ghost imaging (GI) facilitates image acquisition under low-light conditions by single-pixel
measurements and thus has great potential in applications in various fields ranging from …

In this manuscript, we propose a novel framework of computational ghost imaging, ie, ghost
imaging using deep learning (GIDL). With a set of images reconstructed using traditional GI …

Artificial intelligence (AI) techniques such as deep learning (DL) for computational imaging
usually require to experimentally collect a large set of labeled data to train a neural network …

Single-pixel imaging (SPI) is a typical computational imaging modality that allows two-and
three-dimensional image reconstruction from a one-dimensional bucket signal acquired …

Single-pixel imaging techniques enable to capture a scene without a direct line of sight to
the object, but high-quality imaging has been proven challenging especially in the presence …

This article covers recent advances in the fusion of metasurface antenna design and
computational imaging (CI) concepts for the realization of imaging systems that are planar …

We report an experimental proof of principle for ghost imaging in the hard-x-ray energy
range. We use a synchrotron x-ray beam that is split using a thin crystal in Laue diffraction …

Computational imaging enables retrieval of the spatial information of an object with the use
of single-pixel detectors. By projecting a series of known random patterns and measuring …