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 …

Computational ghost imaging (CGI) is a single-pixel imaging technique that exploits the
correlation between known random patterns and the measured intensity of light transmitted …

Imaging with single-pixel detectors becomes attractive in many applications where pixelated
detectors are not available or cannot work. Based on a correlation between the probing …

Active single-pixel imaging (also known as illumination-modulated single-pixel imaging)
employs a spatial light modulator to illuminate a scene with structured patterns. The scheme …

Since quantitative phase distribution reflects both cellular shapes and conditions from
another view, compared to traditional intensity observation, different quantitative phase …

Ghost imaging using deep learning (GIDL) is a kind of computational quantum imaging
method devised to improve the imaging efficiency. However, among most proposals of GIDL …

Abstract The Gerchberg–Saxton (GS) algorithm is widely used in various disciplines of
modern sciences and technologies where phase retrieval is required. However, this …

A compressive optical steganography based on single-pixel imaging (SPI) is proposed. The
SPI system, which employs a digital light projector to illuminate the host image with …