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Computational ghost imaging needs to acquire a large number of correlated measurements between reference patterns and the scene for reconstruction, so extremely high acquisition speed is crucial for fast ghost imaging. With the development…

Optics · Physics 2015-06-11 Jinli Suo , Yudong Xiao , Liheng Bian , Lei Zhang , Qionghai Dai

Conventional computational ghost imaging (CGI) uses light carrying a sequence of patterns with uniform-resolution to illuminate the object, then performs correlation calculation based on the light intensity value reflected by the target and…

Image and Video Processing · Electrical Eng. & Systems 2022-10-05 Dong Zhou , Jie Cao , Huan Cui , Li-Xing Lin , Haoyu Zhang , Yingqiang Zhang , Qun Hao

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…

Ghost imaging, Fourier transform spectroscopy, and the newly developed Hadamard transform crystallography are all examples of multiplexing measurement strategies. Multiplexed experiments are performed by measuring multiple points in space,…

Applied Physics · Physics 2020-04-22 Thomas J. Lane , Daniel Ratner

Temporal ghost imaging is based on the temporal correlations of two optical beams and aims at forming a temporal image of a temporal object with a resolution, fundamentally limited by the photodetector resolution time and reaching 55 ps in…

Quantum Physics · Physics 2023-06-14 Dmitri B. Horoshko

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

We establish a quantum theory of computational ghost imaging and propose quantum projection imaging where object information can be reconstructed by quantum statistical correlation between a certain photon number of bucket signal and DMD…

Quantum Physics · Physics 2024-03-27 De-Zhong Cao , Su-Heng Zhang , Ya-Nan Zhao , Cheng Ren , Jun Zhang , Baolai Liang , Baoqing Sun , Kaige Wang

When the sampling data of ghost imaging is recorded with less bits, i.e., experiencing quantization, decline of image quality is observed. The less bits used, the worse image one gets. Dithering, which adds suitable random noise to the raw…

Optics · Physics 2018-10-01 Junhui Li , Dongyue Yang , Bin Luo , Guohua Wu , Longfei Yin , Hong Guo

In this paper, we present a method for speckle pattern design using deep learning. The speckle patterns possess unique features after experiencing convolutions in Speckle-Net, our well-designed framework for speckle pattern generation. We…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Xiaoyu Nie , Haotian Song , Wenhan Ren , Xingchen Zhao , Zhedong Zhang , Tao Peng , Marlan O. Scully

Ghost imaging is a method to nonlocally image an object by transmitting pairs of entangled photons through the object and a reference optical system respectively. We present a theoretical analysis of the quantum noise in this imaging…

Quantum Physics · Physics 2009-11-10 Jing Cheng , Shensheng Han

The nature of multiple samples to extract correlation information limits the applications of ghost imaging of moving objects. A novel multi-to-one neural network is proposed and the concept of "batch frame" is introduced to improve the…

Image and Video Processing · Electrical Eng. & Systems 2022-09-02 Da Chen , Shan-Guo Feng , Hua-Hua Wang , Jia-Ning Cao , Zhi-Wei Zhang , Zhi-Xin Yang , Ao Yan , Lu Gao , Ze Zhang

We demonstrate experimentally ghost optical coherence tomography using a broadband incoherent supercontinuum light source with shot-to-shot random spectral fluctuations. The technique is based on ghost imaging in the spectral domain where…

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…

Image matting is an important vision problem. The main stream methods for it combine sampling-based methods and propagation-based methods. In this paper, we deal with the combination with a normalized weighting parameter, which could well…

Computer Vision and Pattern Recognition · Computer Science 2017-10-30 Ping Li , Tingyan Duan , Yongfeng Cao

In this paper, we propose a theoretical scheme of ghost imaging in terms of $N$th-order correlated thermal light. We obtain the Gaussian thin lens equations in the ghost imaging protocol. We show that it is possible to produce $N-1$ ghost…

Quantum Physics · Physics 2009-03-31 Ying-Chuan Liu , Le-Man Kuang

Frequency correlations are a versatile and powerful tool which can be exploited to perform spectral analysis of objects whose direct measurement might be unfeasible. This is achieved through a so-called ghost spectrometer, that can be…

We provide a unified treatment of classical and quantum Gaussian-state sources that unambiguously identifies which features of ghost imaging are strictly quantum mechanical. We show that ghost-image formation is fundamentally classical,…

Quantum Physics · Physics 2007-05-23 Baris I. Erkmen , Jeffrey H. Shapiro

The theory of ghost imaging is developed in a Gaussian-state framework that both encompasses prior work - on thermal-state and biphoton-state imagers - and provides a complete understanding of the boundary between classical and quantum…

Quantum Physics · Physics 2009-11-13 Baris I. Erkmen , Jeffrey H. Shapiro

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

To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise reconstruction losses and deterministic processes fail to…

Image and Video Processing · Electrical Eng. & Systems 2021-09-14 Yufei Wang , Renjie Wan , Wenhan Yang , Haoliang Li , Lap-Pui Chau , Alex C. Kot
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