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Computational ghost imaging is a promising technique for single-pixel imaging because it is robust to disturbance and can be operated over broad wavelength bands, unlike common cameras. However, one disadvantage of this method is that it…

Image and Video Processing · Electrical Eng. & Systems 2018-10-16 Ikuo Hoshi , Tomoyoshi Shimobaba , Takashi Kakue , Tomoyoshi Ito

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

Ghost imaging is the remarkable process where an image can be formed from photons that have not "seen" the object. Traditionally this phenomenon has required initially correlated but spatially separated photons, e.g., one to interact with…

Quantum Physics · Physics 2018-09-10 Nicholas Bornman , Megan Agnew , Feng Zhu , Adam Valles , Andrew Forbes , Jonathan Leach

Several approaches to image stitching use different constraints to estimate the motion model between image pairs. These constraints can be roughly divided into two categories: geometric constraints and photometric constraints. In this…

Computer Vision and Pattern Recognition · Computer Science 2018-09-19 Kai Chen , Jingmin Tu , Binbin Xiang , Li Li , Jian Yao

We propose a experimental scenario of edge enhancement ghost imaging of phase objects with nonlocal orbital angular momentum (OAM) phase filters. Spatially incoherent thermal light is separated into two daughter beams, the test and…

Quantum Physics · Physics 2019-08-06 Hanquan Song , Zhidan Yuan , Yuhang Ren , Dayu Zhao , Zili Zhang , Zhiyuan Zheng , Lu Gao

The unpaired training can be the only option available for fast deep learning-based ghost imaging, where obtaining a high signal-to-noise ratio (SNR) image copy of each low SNR ghost image could be practically time-consuming and…

Image and Video Processing · Electrical Eng. & Systems 2021-06-10 Fatemeh Alishahi , Amirhossein Mohajerin-Ariaei

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…

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

A recent thermal ghost imaging experiment by Wu's group constructed positive and negative images using a novel algorithm. This algorithm allows to form the images with use of partial measurements from the reference arm, even which never…

Optics · Physics 2012-08-30 Jianming Wen

The complete characterization of spatial coherence is difficult because the mutual coherence function is a complex-valued function of four independent variables. This difficulty limits the ability of controlling and optimizing spatial…

We show that the essential physics of the Hanbury Brown-Twiss (HBT) and the thermal light ghost imaging experiments is the same, i.e., due to the intensity fluctuations of the thermal light. However, in the ghost imaging experiments, a…

Optics · Physics 2009-11-13 Li-Gang Wang , Sajid Qamar , Shi-Yao Zhu , M. Suhail Zubairy

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

The cosmic coincidence problem is a serious challenge to dark energy model. We suggest a quantitative criteria for judging the severity of the coincidence problem. Applying this criteria to three different interacting models, including the…

Cosmology and Nongalactic Astrophysics · Physics 2009-07-24 Hongsheng Zhang , Heng Yu , Zong-Hong Zhu , Yungui Gong

We show that a recently discussed apparatus for aberration-cancelled interferometry may be modified to perform correlated-photon imaging in the so-called "ghost" imaging configuration. For objects in the vicinity of a particular plane, the…

Quantum Physics · Physics 2010-06-18 D. S. Simon , A. V. Sergienko

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…

By encoding the high-dimensional light-field imaging information into a detectable two-dimensional speckle plane, ghost imaging camera via sparsity constraints (GISC camera) can directly catch the high-dimensional light-field imaging…

Optics · Physics 2020-10-22 Zhishen Tong , Zhentao Liu , Jian Wang , Xia Shen , Shensheng Han

In ghost imaging with narrow-band signal in thermal light background, signal arm filters bring higher value and upper limit of signal-to-noise ratio (SNR), and faster speed to reach that limit. The narrower bandwidth, the better.

Optics · Physics 2016-02-23 Dongyue Yang , Junhui Li , Guohua Wu , Bin Luo , Longfei Yin , Hong Guo

We consider a modification of the classical ghost imaging scheme where an image of the research object is formed and acquired in the object arm. It is used alongside the ghost image to produce an estimate of the transmittance distribution…

Quantum Physics · Physics 2019-06-10 D. A. Balakin , A. V. Belinsky

We investigate the effect of turbulence on quantum ghost imaging. We use entangled photons and demonstrate that for a novel experimental configuration the effect of turbulence can be greatly diminished. By decoupling the entangled photon…

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