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Related papers: Unsighted deconvolution ghost imaging

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Computational ghost imaging is a robust and compact system that has drawn wide attentions over the last two decades. Multispectral imaging possesses spatial and spectral resolving abilities, is very useful for surveying scenes and…

Optics · Physics 2017-08-02 Jian Huang , Dongfeng Shi

We establish a quantum theory of computational ghost imaging and propose quantum projection imaging where object information can be reconstructed by quantum statistical correlation between a certain photon number of bucket signal and DMD…

Quantum Physics · Physics 2024-03-27 De-Zhong Cao , Su-Heng Zhang , Ya-Nan Zhao , Cheng Ren , Jun Zhang , Baolai Liang , Baoqing Sun , Kaige Wang

The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of image data. Applying a random phase modulator to code the…

Optics · Physics 2016-05-18 Zhentao Liu , Shiyu Tan , Jianrong Wu , Enrong Li , Xia Shen , Shensheng Han

Since its discovery, the "ghost" diffraction phenomenon has emerged as a non-conventional technique for optical imaging with very promising advantages. However, extracting intensity and phase information of a structured and realistic object…

In this paper, we present a dual-mode adaptive singular value decomposition ghost imaging (A-SVD GI), which can be easily switched between the modes of imaging and edge detection. It can adaptively localize the foreground pixels via a…

Image and Video Processing · Electrical Eng. & Systems 2023-04-26 Dajing Wang , Baolei Liu , Jiaqi Song , Yao Wang , Xuchen Shan , Fan Wang

In this paper, we propose a theoretical scheme of ghost imaging in terms of $N$th-order correlated thermal light. We obtain the Gaussian thin lens equations in the ghost imaging protocol. We show that it is possible to produce $N-1$ ghost…

Quantum Physics · Physics 2009-03-31 Ying-Chuan Liu , Le-Man Kuang

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

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…

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

We present a computational imaging technique for imaging thin films at grazing-incidence (GI) angles by incorporating structured illumination into existing GI X-ray scattering setups. This method involves scanning a micro-coded aperture…

We experimentally demonstrate Time-Resolved Nonlinear Ghost Imaging and its ability to perform hyperspectral imaging in difficult-to-access wavelength regions, such as the Terahertz domain. We operate by combining nonlinear quadratic sparse…

Many significant results have been achieved in the fields of ghost imaging, in which the beam splitter is an indispensable optical component. This paper introduces a method to realize ghost imaging without beam splitter. And we study this…

Optics · Physics 2015-05-13 Shibei He , Xia Shen , Hui Wang , Wenlin Gong , Shengsheng Han

A novel technique for polarization-multiplexing ghost imaging is proposed to simultaneously obtain multiple polarimetric information by a single detector. Here, polarization-division multiplexing speckles are employed for object…

Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene. It is challenging since it needs to separate one image into two components. To tackle this, conventional…

Computer Vision and Pattern Recognition · Computer Science 2020-05-28 Yunfei Liu , Yu Li , Shaodi You , Feng Lu

In this paper a new optical-computational method is introduced to unveil images of targets whose visibility is severely obscured by light scattering in dense, turbid media. The targets of interest are taken to be dynamic in that their…

Neural and Evolutionary Computing · Computer Science 2023-09-14 Ning Zhang , Timothy Shea , Arto Nurmikko

The Discrete Fourier Transform (DFT) underpins the solution to many inverse problems commonly possessing missing or un-measured frequency information. This incomplete coverage of Fourier space always produces systematic artefacts called…

Mathematical Physics · Physics 2016-11-15 Shekhar Chandra , Imants Svalbe , Jeanpierre Guedon , Andrew Kingston , Nicolas Normand

A thermal ghost imaging scheme between two distant parties is proposed and experimentally demonstrated over long-distance optical fibers. In the scheme, the weak thermal light is split into two paths. Photons in one path are spatially…

Optics · Physics 2018-03-14 Xin Yao , Wei Zhang , Hao Li , Lixing You , Zhen Wang , Yidong Huang

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

Geometric-optical illusions (GOI) are a subclass of a vast variety of visual illusions. A special class of GOIs originates from the superposition of a simple geometric figure ("target") with an array of non-intersecting curvilinear elements…

Neurons and Cognition · Quantitative Biology 2016-10-10 Werner Ehm , Jiri Wackermann

Conventional intensity cameras recover objects in the direct line-of-sight of the camera, whereas occluded scene parts are considered lost in this process. Non-line-of-sight imaging (NLOS) aims at recovering these occluded objects by…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Wenzheng Chen , Simon Daneau , Fahim Mannan , Felix Heide