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Related papers: Multi-wavelength ghost imaging: a review

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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

Ghost imaging (GI) is a potential imaging technique that reconstructs the target scene from its correlated measurements with a sequential of patterns. Restricted by the multi-shot principle, GI usually requires long acquisition time and is…

Optics · Physics 2018-04-12 Chao Deng , Yuwang Wang , Jinli Suo , Zhili Zhang , Qionghai Dai

Ghost imaging (GI) and single-pixel imaging (SPI) techniques enable image reconstruction without spatially resolved detectors, offering unique access to wide spectral ranges and challenging imaging environments. Yet, their adoption has been…

Optics · Physics 2025-12-23 Shin Motooka , Noriki Komori , Tomoaki Niiyama , Satoshi Sunada

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 (GI) is an unconventional technique that combines information from two correlated patterned light fields to compute an image of the object of interest. GI can be performed with visible light as well as penetrating radiation…

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

Ghost imaging is an unconventional imaging technique that generates high resolution images by correlating the intensity of two light beams, neither of which independently contains useful information about the shape of the object. Ghost…

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

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

Radiation damage is one of the most severe resolution limiting factors in x-ray imaging, especially relevant to biological samples. One way of circumventing this problem is to exploit correlation-based methods developed in quantum imaging.…

Ghost imaging can capture 2D images with a point detector instead of an array sensor. It therefore offers a solution to the challenge of building area format sensors in wavebands where such sensors are difficult and expensive to produce and…

Image and Video Processing · Electrical Eng. & Systems 2022-08-09 Baolei Liu , Fan Wang , Chaohao Chen , Fei Dong , David McGloin

In this letter, we proposed a ghost imaging (GI) and distributed antennas based microwave surveillance scheme. By analyzing its imaging resolution and sampling requirement, the potential of employing microwave GI to achieve high-quality…

Applications · Statistics 2016-12-21 Xiaopeng Wang , Zihuai Lin

X-ray Fluorescence Ghost Imaging (XRF-GI) was recently demonstrated for x-ray lab sources. It has the potential to reduce acquisition time and deposited dose by choosing their trade-off with spatial resolution, while alleviating the…

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

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

X-ray based imaging modalities are widely used in research, industry, and in the medical field. Consequently, there is a strong motivation to improve their performances with respect to resolution, dose, and contrast. Ghost imaging (GI) is…

Applied Physics · Physics 2023-06-30 R. H. Shukrun , Y. Klein. , O. Sefi. , Y. Fried. , L. Epstein. , S. Shwartz

Imaging with hard x-rays is an invaluable tool in medicine, biology, materials science, and cultural heritage. Propagation-based x-ray phase-contrast imaging and tomography have been mostly used to resolve micrometer-scale structures inside…

Image and Video Processing · Electrical Eng. & Systems 2025-06-02 Margie P. Olbinado , David M. Paganin , Yin Cheng , Alexander Rack

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

In certain applications or wavelength regimes, essential optical components for imaging systems are either unavailable or challenging to fabricate. To address this, we propose an optics-free classical ghost imaging (GI) scheme utilizing…

Optics · Physics 2026-03-09 Yuhan Guo , Xiangyu Yin , Chunguang Meng , Liming Li , Huiqiang Liu

We present a new self-supervised deep-learning-based Ghost Imaging (GI) reconstruction method, which provides unparalleled reconstruction quality for noisy acquisitions among unsupervised methods. We present the supporting mathematical…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Mathieu Manni , Dmitry Karpov , K. Joost Batenburg , Sharon Shwartz , Nicola Viganò
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