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Turbulence-free images cannot be produced by conventional computational ghost imaging because calculated light is not affected by the same atmospheric turbulence as real light. In this article, we first addressed this issue by measuring the…

Optics · Physics 2022-04-04 Qiang Gao , Yuge Li , Yunjie Xia , Deyang Duan

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 (or reflected) by an object. Although CGI can obtain two- or…

Computational ghost imaging (CGI) has recently been intensively studied as an indirect imaging technique. However, the speed of CGI cannot meet the requirements of practical applications. Here, we propose a novel CGI scheme for high-speed…

Image and Video Processing · Electrical Eng. & Systems 2021-07-15 Hao Zhang , Deyang Duan

Experimental data with digital masks and a theoretical analysis are presented for an imaging scheme that we call time-correspondence differential ghost imaging (TCDGI). It is shown that by conditional averaging of the information from the…

Optics · Physics 2013-03-25 Ming-Fei Li , Yu-Ran Zhang , Kai-Hong Luo , Ling-An Wu , Heng Fan

Recent work has indicated that ghost imaging may have applications in standoff sensing. However, most theoretical work has addressed transmission-based ghost imaging. To be a viable remote-sensing system, the ghost imager needs to image…

Quantum Physics · Physics 2015-05-30 Nicholas D. Hardy , Jeffrey H. Shapiro

Computational ghost imaging has been demonstrated experimentally recently. In this comment we wish to clarify the difference between pseudothermal ghost imaging (PGI) and computational ghost imaging (CGI). In particular, to emphasize the…

Quantum Physics · Physics 2009-02-12 Morton H. Rubin

Although optical aperture synthesis has been generally regarded as the only access to very large imager for over a century, the problem of phasing all the giant sub-apertures on the scale of wavelength is still prohibitive. Besides, the…

Optics · Physics 2023-08-31 Shuai Sun , Zhen-Wu Nie , Yue-Gang Li , Hui-Zu Lin , Wei-Tao Liu , Ping-Xing Chen

Atmospheric turbulence is a serious problem for traditional optical imaging, especially for satellite and aircraft-to-ground imaging. Here, we report a novel and practical phenomenon in which turbulence-free images can be reconstructed on a…

Image and Video Processing · Electrical Eng. & Systems 2021-09-10 Deyang Duan , Yunjie Xia

Ghost imaging is a fascinating process, where light interacting with an object is recorded without resolution, but the shape of the object is nevertheless retrieved, thanks to quantum or classical correlations of this interacting light with…

Optics · Physics 2019-06-11 Fabrice Devaux , Paul-Antoine Moreau , Severine Denis , Eric Lantz

Differential ghost imaging was attempted in time domain, i.e., temporal differential ghost imaging (TDGI), using pseudo-randomized light pulses and a temporal object consisting of no-return-to-zero bit patterns of varying duty. Evaluation…

Applied Physics · Physics 2017-09-13 Yoshiki O-oka , Susumu Fukatsu

Non-degenerate wavelength computational ghost imaging with thermal light source is studied theoretically and experimentally. The acquired computational ghost images are of high quality when the wavelength of computed light is different from…

Quantum Physics · Physics 2021-07-15 Deyang Duan , Zhongxiao Man , Yunjie Xia

Computational temporal ghost imaging (CTGI) allows the reconstruction of a fast signal from a two dimensional detection with no temporal resolution. High speed spatial modulation is implemented to encode temporal detail of the signal into…

Image and Video Processing · Electrical Eng. & Systems 2019-07-24 Wenjie Jiang , Xianye Li , Shan Jiang , Yupeng Wang , Zexin Zhang , Guanbai He , Baoqing Sun

Ghost imaging (GI) is an imaging technique that uses the second-order correlation between two light beams to obtain the image of an object. However, standard GI is affected by optical background noise, which reduces its practical use. We…

Image and Video Processing · Electrical Eng. & Systems 2020-01-13 Zhe Yang , Wei-Xing Zhang , Ma-Chi Zhang , Dong Ruan , Jun-Lin Li

Ghost imaging (GI) is an unconventional imaging method that retrieves the image of an object by correlating a series of known illumination patterns with the total reflected (or transmitted) intensity. We here demonstrate a scheme which can…

Image and Video Processing · Electrical Eng. & Systems 2021-01-05 Yuan Yuan , Hui Chen

Imaging and analysis of many single cells hold great potential in our understanding of heterogeneous and complex life systems and in enabling biomedical applications. We here introduce a recently realized image-free "imaging" cytometry…

Image and Video Processing · Electrical Eng. & Systems 2019-03-29 Sadao Ota , Ryoichi Horisaki , Yoko Kawamura , Issei Sato , Hiroyuki Noji

Computational ghost imaging is an imaging technique in which an object is imaged from light collected using a single-pixel detector with no spatial resolution. Recently, ghost cytometry has been proposed for a high-speed cell-classification…

Image and Video Processing · Electrical Eng. & Systems 2019-05-30 Issei Sato

It is shown that lensless pseudothermal ghost imaging is not immune to spatial resolution loss from the presence of atmospheric turbulence along the propagation paths.

Quantum Physics · Physics 2012-01-24 Jeffrey H. Shapiro

Ghost imaging (GI) is an imaging technique that uses the correlation between two light beams to reconstruct the image of an object. Conventional GI algorithms require large memory space to store the measured data and perform complicated…

Image and Video Processing · Electrical Eng. & Systems 2020-01-24 Zhe Yang , Wei-Xing Zhang , Yi-Pu Liu , Dong Ruan , Jun-Lin Li

Illumination patterns of computational ghost imaging (CGI) systems suffer from reduced contrast when passing through a scattering medium, which causes the effective information in the reconstruction result to be drowned out by noise. A…

Optics · Physics 2023-04-18 Li-Xing Lin , Jie Cao , Qun Hao

Image generation has been heavily investigated in computer vision, where one core research challenge is to generate images from arbitrarily complex distributions with little supervision. Generative Adversarial Networks (GANs) as an implicit…

Computer Vision and Pattern Recognition · Computer Science 2021-08-19 Hui Ying , He Wang , Tianjia Shao , Yin Yang , Kun Zhou
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