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In the last few years,the field of ghost imaging has seen many new developments. From computational ghost imaging to 3D ghost imaging, this field has shown many interesting applications. But the method of obtaining an image in ghost imaging…

Optics · Physics 2014-06-06 Nandan Jha

The ability to see around corners, i.e., recover details of a hidden scene from its reflections in the surrounding environment, is of considerable interest in a wide range of applications. However, the diffuse nature of light reflected from…

X-ray imaging allows for a non-invasive image of the internal structure of an object. The most common form of X-ray imaging, projectional radiography, is simply a projection or "shadow" of the object rather than a point-to-point image…

Optics · Physics 2020-10-15 Thomas A. Smith , Zhehui Wang , Yanhua Shih

Computational ghost imaging (CGI) has recently been intensively studied as an indirect imaging technique. However, the speed of CGI cannot meet the requirements of practical applications. Here, we propose a novel CGI scheme for high-speed…

Image and Video Processing · Electrical Eng. & Systems 2021-07-15 Hao Zhang , Deyang Duan

A special algorithm for the Fourier-transform Ghost Imaging (GI) scheme is discussed based on the Compressive Sampling (CS) theory. Though developed mostly in real space, CS algorithm could also be used for the Fourier spectrum…

Quantum Physics · Physics 2009-11-23 Hui Wang , Shensheng Han

We present a novel approach for imaging through scattering media that combines the principles of Fourier spatial filtering and single-pixel imaging. We compare the performance of our single-pixel imaging setup with that of a conventional…

Ghost imaging with thermal light in scattering media is investigated. We demonstrated both theoretically and experimentally for the first time that the image with high quality can still be obtained in the scattering media by ghost imaging.…

Optics · Physics 2008-12-14 Wenlin Gong , Pengli Zhang , Xia Shen , Shensheng Han

Losses should be accounted for in a complete description of quantum imaging systems, and yet they are often treated as undesirable and largely neglected. In conventional quantum imaging, images are built up by coincidence detection of…

Optics · Physics 2017-04-05 Matthew Reichert , Hugo Defienne , Xiaohang Sun , Jason W. Fleischer

Quantum correlations become formidable tools for beating classical capacities of measurement. Preserving these advantages in practical systems, where experimental imperfections are unavoidable, is a challenge of the utmost importance. Here…

Quantum Physics · Physics 2019-12-18 Elena Losero , Ivano Ruo Berchera , Alice Meda , Alessio Avella , Olga Sambataro , Marco Genovese

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

Spontaneous downconversion is a versatile source for correlated biphotons that has been employed in many quantum sensing and imaging experiments. Spatially-resolved photon-counting detectors allow to access a large number of modes, posing…

Instrumentation and Detectors · Physics 2019-11-26 Ermes Toninelli , Paul-Antoine Moreau , Thomas Gregory , Miles J. Padgett

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

A transparent polarisation sensitive phase pattern exhibits a position and polarisation dependent phase shift of transmitted light and it represents a unitary transformation. A quantum ghost image of this pattern is produced with…

Quantum Physics · Physics 2023-03-14 Aditya Saxena , Manpreet Kaur , Vipin Devrari , Mandip Singh

We implement a general imaging method by measuring the complex degree of coherence using linear optics and photon number resolving detectors. In the absence of collective or entanglement assisted measurements, our method is optimal over a…

Quantum Physics · Physics 2019-10-09 L. A. Howard , G. G. Gillett , M. E. Pearce , R. A. Abrahao , T. J. Weinhold , P. Kok , A. G. White

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.…

Conventional cameras generate a lot of data that can be challenging to process in resource-constrained applications. Usually, cameras generate data streams on the order of the number of pixels in the image. However, most of this captured…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Sasidharan Mahalingam , Rachel Brown , Atul Ingle

Light scattered from multiple surfaces can be used to retrieve information of hidden environments. However, full three-dimensional retrieval of an object hidden from view by a wall has only been achieved with scanning systems and requires…

Computer Vision and Pattern Recognition · Computer Science 2017-09-22 Piergiorgio Caramazza , Alessandro Boccolini , Daniel Buschek , Matthias Hullin , Catherine Higham , Robert Henderson , Roderick Murray-Smith , Daniele Faccio

Single-pixel imaging, originally developed in light optics, facilitates fast three-dimensional sample reconstruction, as well as probing with light wavelengths undetectable by conventional multi-pixel detectors. However, the spatial…

A quantum edge detector for image segmentation in optical environments is presented in this work. A Boolean version of the same detector is presented too. The quantum version of the new edge detector works with computational basis states,…

Computer Vision and Pattern Recognition · Computer Science 2014-09-11 Mario Mastriani

A concept of defining images based on its own approximate ones is proposed here, which is called 'Self-ception'. In this regard, an algorithm is proposed to implement the self-ception for images, which we call it 'Image Self-ception' since…

Computer Vision and Pattern Recognition · Computer Science 2018-06-15 Hamed Shah-Hosseini
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