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Related papers: Computational Ghost Imaging

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Computational ghost imaging retrieves the spatial information of a scene using a single pixel detector. By projecting a series of known random patterns and measuring the back reflected intensity for each one, it is possible to reconstruct a…

We have designed a single-pixel camera with imaging around corners based on computational ghost imaging. It can obtain the image of an object when the camera cannot look at the object directly. Our imaging system explores the fact that a…

Computer Vision and Pattern Recognition · Computer Science 2017-10-11 Bin Bai , Jianbin Liu , Yu Zhou , Songlin Zhang , Yuchen He , Zhuo Xu

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

A simple and robust experiment demonstrating computational ghost imaging with structured illumination and a single-pixel detector has been performed. Our experimental setup utilizes a general computer for generating pseudo-randomly patterns…

Optics · Physics 2015-02-10 Lijun Song , Cheng Zhou , Li Chen , Xiaoguang Wang , Jing Cheng

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

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…

Ghost imaging is a technique -- first realized in quantum optics -- in which the image emerges from cross-correlation between particles in two separate beams. One beam passes through the object to a bucket (single-pixel) detector, while the…

Computational ghost imaging is a robust and compact system that has drawn wide attentions over the last two decades. Multispectral imaging possesses spatial and spectral resolving abilities, is very useful for surveying scenes and…

Optics · Physics 2017-08-02 Jian Huang , Dongfeng Shi

Ghost tomography using single-pixel detection extends the emerging field of ghost imaging to three dimensions, with the use of penetrating radiation. In this work, a series of spatially random x-ray intensity patterns is used to illuminate…

Instrumentation and Detectors · Physics 2019-06-25 Andrew. M. Kingston , Daniele Pelliccia , Alexander Rack , Margie P. Olbinado , Yin Cheng , Glenn R. Myers , David M. Paganin

Correlated-photon imaging, popularly known as ghost imaging, is a technique whereby an image is formed from light that has never interacted with the object. In ghost imaging experiments two correlated light fields are produced. One of these…

Quantum Physics · Physics 2013-08-06 Reuben S. Aspden , Daniel S. Tasca , Robert W. Boyd , Miles J. Padgett

Imaging for an occluded object is usually a difficult problem, in this letter, we introduce an imaging scheme based on computational ghost imaging, which can obtain the image of a target object behind an obstacle. According to our…

Optics · Physics 2019-05-22 Chao Gao , Xiaoqian Wang , Lidan Gou , Yuling Feng , Hongji Cai , Zhifeng Wang , Zhihai Yao

Ghost imaging is an unconventional optical imaging technique that reconstructs the shape of an object combining the measurement of two signals: one that interacted with the object, but without any spatial information, the other containing…

In computational ghost imaging the object is illuminated with a sequence of known patterns, and the scattered light is collected using a detector that has no spatial resolution. Using those patterns and the total intensity measurement from…

Image and Video Processing · Electrical Eng. & Systems 2021-12-16 Harry Penketh , William L Barnes , Jacopo Bertolotti

Coincidence imaging, also known as ghost imaging, is a technique that exploits correlations between two particles to reconstruct information about a specimen. The particle that relays the spatial information about the object remains…

Ghost imaging allows image reconstruction by correlation measurements between a light beam that interacts with the object without spatial resolution and a spatially resolved light beam that never interacts with the object. The two light…

Signal Processing · Electrical Eng. & Systems 2019-06-26 Da-Peng Zhou , Wei Peng , Liang Chen , Xiaoyi Bao

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

Computational ghost imaging or single-pixel imaging enables the image formation of an unknown scene using a lens-free photodetector. In this Letter, we present a computational panoramic ghost imaging system that can achieve the full-color…

Optics · Physics 2021-08-24 Zhiyuan Ye , Hai-Bo Wang , Jun Xiong , Kaige Wang

Ghost imaging is a remarkable technique where light that never interacts with an object is detected with a camera and still the image of the object is recorded. The method relies on the use of correlated light and an additional bucket…

Optics · Physics 2024-11-07 Anjaneshwar Ganesan , Herman Batelaan

Low-light-level imaging techniques have application in many diverse fields, ranging from biological sciences to security. We demonstrate a single-photon imaging system based on a time-gated inten- sified CCD (ICCD) camera in which the image…

Computational ghost imaging relies on the decomposition of an image into patterns that are summed together with weights that measure the overlap of each pattern with the scene being imaged. These tasks rely on a computer. Here we…

Neurons and Cognition · Quantitative Biology 2019-03-27 Alessandro Boccolini , Alessandro Fedrizzi , Daniele Faccio
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