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In this Letter we present experimental results concerning the retrieval of images of absorbing objects immersed in turbid media via differential ghost imaging (DGI) in a backscattering configuration. The method has been applied, for the…

Optics · Physics 2013-03-01 M. Bina , D. Magatti , M. Molteni , A. Gatti , L. A. Lugiato , F. Ferri

In this Letter, we report a demonstration of ion and electron ghost imaging. Two beams of correlated ions and electrons are produced by a photoionization process and accelerated into opposite directions. Using a single time and position…

Instrumentation and Detectors · Physics 2020-03-05 A. Trimeche , C. Lopez , D. Comparat , Y. J. Picard

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

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…

Correlation Plenoptic Imaging (CPI) is a novel technological imaging modality enabling to overcome drawbacks of standard plenoptic devices, while preserving their advantages. However, a major challenge in view of real-time application of…

We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness and efficiency in illumination estimation. The grayness index, GI in short, is derived using the Dichromatic Reflection Model and is learning-free.…

Computer Vision and Pattern Recognition · Computer Science 2019-05-03 Yanlin Qian , Joni-Kristian Kämäräinen , Jarno Nikkanen , Jiri Matas

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…

Single-pixel imaging (SPI) is a novel technique capturing 2D images using a photodiode, instead of conventional 2D array sensors. SPI owns high signal-to-noise ratio, wide spectrum range, low cost, and robustness to light scattering.…

Computer Vision and Pattern Recognition · Computer Science 2017-12-12 Liheng Bian , Jinli Suo , Qionghai Dai , Feng Chen

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…

Photonic quantum technologies have become pivotal in the implementation of communication, imaging and computing modalities. Among these applications, quantum ghost imaging (GI) exploits photon correlations to surpass classical limits, with…

Recent work has indicated that ghost imaging may have applications in standoff sensing. However, most theoretical work has addressed transmission-based ghost imaging. To be a viable remote-sensing system, the ghost imager needs to image…

Quantum Physics · Physics 2015-05-30 Nicholas D. Hardy , Jeffrey H. Shapiro

Global illumination combines direct and indirect lighting to create realistic lighting effects, bringing virtual scenes closer to reality. Static global illumination is a crucial component of virtual scene rendering, leveraging…

Graphics · Computer Science 2025-06-03 Junke Zhu , Zehan Wu , Qixing Zhang , Cheng Liao , Zhangjin Huang

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

Night vision imaging is a technology that converts non-visible object to human eyes into visible image in night and other low light environments. However, the conventional night vision imaging can only directly produce grayscale image.…

Image and Video Processing · Electrical Eng. & Systems 2021-02-03 Deyang Duan , Yunjie Xia

We present a framework for computational ghost imaging based on deep learning and customized pink noise speckle patterns. The deep neural network in this work, which can learn the sensing model and enhance image reconstruction quality, is…

Image and Video Processing · Electrical Eng. & Systems 2022-06-01 Haotian Song , Xiaoyu Nie , Hairong Su , Hui Chen , Yu Zhou , Xingchen Zhao , Tao Peng , Marlan O. Scully

To extract the maximum information about the object from a series of binary samples in ghost imaging applications, we propose and demonstrate a framework for optimizing the performance of ghost imaging with binary sampling to approach the…

Data Analysis, Statistics and Probability · Physics 2020-03-12 Dongyue Yang , Guohua Wu , Bin Luo , Longfei Yin

Ghost imaging is demonstrated using a poly-energetic reactor source of thermal neutrons. The method presented enables position resolution to be incorporated, into a variety of neutron instruments that are not position resolving. In an…

Image and Video Processing · Electrical Eng. & Systems 2020-05-27 Andrew M. Kingston , Glenn R. Myers , Daniele Pelliccia , Filomena Salvemini , Joseph J. Bevitt , Ulf Garbe , David M. Paganin

The capture of transient optical waveforms is critical to reveal dynamical phenomena in various fields. However, fast and sensitive mid-infrared (MIR) measurements are typically limited by processing bandwidth and detection sensitivity of…

Optics · Physics 2026-05-26 Wen Zhang , Kun Huang , Xu Wang , Ben Sun , Jianan Fang , Yijing Li , Heping Zeng

Arbitrary Nth-order ($N\geq2$) lensless ghost imaging with thermal light has been performed for the first time by only recording the intensities in two optical paths. It is shown that the image visibility can be dramatically enhanced as the…

Quantum Physics · Physics 2015-05-13 Xi-Hao Chen , Ivan N. Agafonov , Kai-Hong Luo , Qian Liu , Rui Xian , Maria V. Chekhova , Ling-An Wu

Artificial intelligence has recently been widely used in computational imaging. The deep neural network (DNN) improves the signal-to-noise ratio of the retrieved images, whose quality is otherwise corrupted due to the low sampling ratio or…

Image and Video Processing · Electrical Eng. & Systems 2022-12-16 Wenhan Ren , Xiaoyu Nie , Tao Peng , Marlan O. Scully