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Related papers: Ghost Projection

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Set projection algorithms are a class of algorithms used in ptychography to help improve the quality of the reconstructed images. The set projection step is important because it helps to ensure that the reconstructed image satisfies the…

Signal Processing · Electrical Eng. & Systems 2023-11-21 Wenjie Mei , Andrew M. Maiden

A new focal-plane three-dimensional (3D) imaging method based on temporal ghost imaging is proposed and demonstrated. By exploiting the advantages of temporal ghost imaging, this method enables slow integrating cameras have an ability of 3D…

Image and Video Processing · Electrical Eng. & Systems 2018-05-18 Zunwang Bo , Wenlin Gong , Shensheng Han

An approach to ghost imaging with a single SPAD array used simultaneously as a several-pixel "bucket" detector and an imaging camera is described. The key points of the approach are filtering data frames used for ghost-image reconstruction…

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

By means of numerical simulations, we demonstrate the innovative use of computational ghost imaging in transmission electron microscopy to retrieve images with a resolution that overcomes the limitations imposed by coherent aberrations. The…

Instrumentation and Detectors · Physics 2024-11-20 P. Rosi , L. Viani , E. Rotunno , S. Frabboni , A. H. Tavabi , R. E. Dunin-Borkowski , A. Roncaglia , V. Grillo

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

Imaging and edge detection have been widely applied and played an important role in security checking and medical diagnosis. However, as we know, most edge detection based on ghost imaging system require a large measurement times and the…

Image and Video Processing · Electrical Eng. & Systems 2019-10-23 Cheng Zhou , Gangcheng Wang , Heyan Huang , Lijun Song , Kang Xue

Projection ghosts are discrete arrays of signed values positioned so that their discrete projections vanish for some chosen set of n projection angles. Minimal ghosts are designed to be compact, with no internal pixels having value zero.…

Discrete Mathematics · Computer Science 2024-12-24 Imants Svalbe , Rob Tijdeman

In this paper, we propose an advanced framework of ghost edge imaging, named compressed ghost edge imaging (CGEI). In the scheme, a set of structured speckle patterns with pixel shifting are illuminated on an unknown object, and the output…

Image and Video Processing · Electrical Eng. & Systems 2019-07-24 Hui Guo , Le Wang , Shengmei Zhao

While transmission electron microscopes (TEM) can achieve a much higher resolution than optical microscopes, they face challenges of damage to samples during the high energy processes involved. Here, we explore using computational ghost…

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

Ghost imaging (GI) is a novel imaging technique based on the second-order correlation of light fields. Due to limited number of samplings in practice, traditional GI methods often reconstruct objects with unsatisfactory quality. To improve…

Image and Video Processing · Electrical Eng. & Systems 2019-10-23 Chenyu Hu , Zhisheng Tong , Zhentao Liu , Zengfeng Huang , Jian Wang , Shensheng Han

We propose a computational ghost imaging scheme using customized pink noise speckle pattern illumination. By modulating the spatial frequency amplitude of the speckles, we generate speckle patterns with a significant positive spatial…

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

One of the most surprising consequences of quantum mechanics is the nonlocal multi-particle interference observable in joint-detection of distant particle-detectors. Ghost imaging is one of such phenomena. Two types of ghost imaging have…

Quantum Physics · Physics 2009-09-29 Yanhua Shih

Ghost imaging uses two light beams correlated in the transverse position, time, or frequency to create an image of a spatial, temporal, or spectral object. We propose a scheme of time-to-space ghost imaging for creating a spatial image of a…

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

Based on optical correlations, ghost imaging is usually reconstructed by computer algorithm from the acquired data. We here proposed an alternatively high contrast naked-eye ghost imaging scheme which avoids computer algorithm processing.…

Image and Video Processing · Electrical Eng. & Systems 2019-04-16 Gao Wang , Huaibin Zheng , Yu Zhou , Hui Chen , Jianbin Liu , Yuchen He , Yuan Yuan , Fuli Li , Zhuo Xu

Ghost imaging (GI) is an intriguing imaging technology which achieves the object images through intensity correlation between reference patterns and bucket signal. Here, we propose a probability model to explain the imaging mechanism of…

Image and Video Processing · Electrical Eng. & Systems 2020-12-04 Wen-Kai Yu , Jian Leng

Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic…

Machine Learning · Computer Science 2013-01-18 Sanjoy Dasgupta
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