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 …

We propose a deep learning denoising computational ghost imaging (CGI) method to obtain
a clear object image with a sub-Nyquist sampling ratio. We develop an end-to-end deep …

We propose a deep learning computational ghost imaging (CGI) scheme to achieve sub-
Nyquist and high-quality image reconstruction. Unlike the second-order-correlation CGI and …

We propose a compressive Hadamard computational ghost imaging (CGI) method to restore
clear images of objects in the underwater environment. We construct an underwater CGI …

We propose a computational ghost imaging (CGI) scheme based on a rearranged
Hadamard matrix (HCGI). A decomposition method is first introduced to construct a speckle …

Ghost imaging technology has a great application potential in optical security because of its
non-local characteristics. In this paper, on the basis of computational ghost imaging, an …

A flexure hinge is a major component in designing compliant mechanisms that offers unique
possibilities in a wide range of application fields in which high positioning accuracy is …

The real-time transmission of images through a multimode fiber (MMF) is still a challenging
research work. One method completes image transmission by measuring and controlling the …

We propose a computational ghost imaging system based on the Hadamard patterns. A 4-
connected-region-based method is proposed to optimize the Hadamard pattern sequence …

As an emerging imaging technique, computational ghost imaging (CGI) has its unique
application in image encryption. However, the long imaging time and high requirement of …