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Related papers: Reflective Ghost Imaging through Turbulence

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Ghost imaging incorporating deep learning technology has recently attracted much attention in the optical imaging field. However, deterministic illumination and multiple exposure are still essential in most scenarios. Here we propose a…

Image and Video Processing · Electrical Eng. & Systems 2020-06-24 Ruiguo Zhu , Hong Yu , Zhijie Tan , Ronghua Lu , Shensheng Han , Zengfeng Huang , Jian Wang

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

By using the ghost imaging technique, we experimentally demonstrate the reconstruction of the diffraction pattern of a {\em pure phase} object by using the classical correlation of incoherent thermal light split on a beam splitter. The…

Quantum Physics · Physics 2007-05-23 M. Bache , D. Magatti , A. Gatti , E. Brambilla , F. Ferri , L. A. Lugiato

As one of important analysis tools, microscopes with high spatial resolution are indispensable for scientific research and medical diagnosis, and much attention is always focused on the improvement of resolution. Over the past decade, a…

Quantum Physics · Physics 2008-04-04 Pengli Zhang , Wenlin Gong , Xia Shen , Dajie Huang , Shensheng Han

A theory of random-matrix bases is presented, including expressions for orthogonality, completeness and the random-matrix synthesis of arbitrary matrices. This is applied to ghost imaging as the realization of a random-basis reconstruction,…

Image and Video Processing · Electrical Eng. & Systems 2018-06-27 David Ceddia , David M. Paganin

We present a theoretical study of ghost imaging based on correlated beams arising from parametric down-conversion, and which uses balanced homodyne detection to measure both the signal and idler fields. We analytically show that the…

Quantum Physics · Physics 2007-05-23 M. Bache , E. Brambilla , A. Gatti , L. A. Lugiato

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…

Classical ghost imaging has received considerable attention in recent years because of its remarkable ability to image a scene without direct observation by a light-detecting imaging device. In this article, we show that this imaging…

Optics · Physics 2013-09-13 Pradeep Sen

Assessing the presence of chemical, biological, radiological and nuclear threats is a crucial task which is usually dealt with by analyzing the presence of spectral features in a measured absorption profile. The use of quantum light allows…

The structured illumination is adopted widely in the super-resolution microscopy imaging. Here, we studied the ghost imaging scheme with sinusoidal structured speckle illumination, whose spatial resolution can surpass the…

Optics · Physics 2024-08-12 Liming Li

Ghost imaging (GI) is a novel imaging method, which can reconstruct the object information by the light intensity correlation measurements. However, at present, the field of view (FOV) is limited to the illuminating range of the light…

Optics · Physics 2021-11-24 Huan Cui , Jie Cao , Qun Hao , Dong Zhou , Mingyuan Tang , Kaiyu Zhang , Yingqiang Zhang

Efforts on enhancing the ghost imaging speed and quality are intensified when the debate around the nature of ghost imaging (quantum vs. classical) is suspended for a while. Accordingly, most of the studies these years in the field fall…

Quantum Physics · Physics 2018-06-19 Fei Yan , Kehan Chen , Abdullah M. Iliyasu , Jianping Zhao

We present a device that exploits spatial and spectral correlations in parametric downconversion at once. By using a ghost imaging arrangement, we have been able to reconstruct remotely the frequency profile of a composite system. The…

Quantum Physics · Physics 2023-08-07 Andrea Chiuri , Federico Angelini , Simone Santoro , Marco Barbieri , Ilaria Gianani

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

For remote sensing, high-resolution imaging techniques are helpful to catch more characteristic information of the target. We extend pseudo-thermal light ghost imaging to the area of remote imaging and propose a ghost imaging lidar system.…

Nowadays the world has entered into the digital age, in which the data analysis and visualization have become more and more important. In analogy to imaging the real object, we demonstrate that the computational ghost imaging can image the…

Astronomical images are often plagued by unwanted artifacts that arise from a number of sources including imperfect optics, faulty image sensors, cosmic ray hits, and even airplanes and artificial satellites. Spurious reflections (known as…

Instrumentation and Methods for Astrophysics · Physics 2021-05-28 Chihway Chang , Alex Drlica-Wagner , Stephen M. Kent , Brian Nord , Donah Michelle Wang , Michael H. L. S. Wang

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 use of x-ray imaging in medicine and other research is well known. Generally, the image quality is proportional to the total flux, but high photon energy could severely damage the specimen, so how to decrease the radiation dose while…

Medical Physics · Physics 2017-09-05 Ai-Xin Zhang , Yu-Hang He , Ling-An Wu , Li-Ming Chen , Bing-Bing Wang

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