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An experiment demonstrating single-pixel single-arm complementary compressive microscopic ghost imaging based on a digital micromirror device (DMD) has been performed. To solve the difficulty of projecting speckles or modulated light…

Optics · Physics 2022-04-14 Wen-Kai Yu , Xu-Ri Yao , Xue-Feng Liu , Long-Zhen Li , Ling-An Wu , Guang-Jie Zhai

Human ability to visualize an image is usually hindered by optical scattering. Recent extensive studies have promoted imaging technique through turbid materials to a reality where color image can be restored behind scattering media in real…

Ultraviolet (UV) imaging enables a diverse array of applications, such as material composition analysis, biological fluorescence imaging, and detecting defects in semiconductor manufacturing. However, scientific-grade UV cameras with high…

We analyze multi-bounce propagation of light in an unknown hidden volume and demonstrate that the reflected light contains sufficient information to recover the 3D structure of the hidden scene. We formulate the forward and inverse theory…

Dark-field images are formed by small-angle scattering of x-ray photons. The small-angle scattering signal is particularly sensitive to structural variations and density fluctuation on a length scale of several ten to hundred nanometers,…

Medical Physics · Physics 2010-03-11 W. Cong , F. Pfeiffer , M. Bech , O. Bunk , C. David , G. Wang

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

Transparent and reflective objects, which are common in our everyday lives, present a significant challenge to 3D imaging techniques due to their unique visual and optical properties. Faced with these types of objects, RGB-D cameras fail to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Tianyu Sun , Dingchang Hu , Yixiang Dai , Guijin Wang

Ghost imaging enables the imaging of an object using intensity correlations between a single-pixel detector placed behind the object and a camera that records light that did not interact with the object. The object and the camera are often…

Optics · Physics 2025-06-12 Edward Tananyan , Ohad Lib , Michal Zimmerman , Yaron Bromberg

We study the azimuthal variation in the backscattered intensity that is seen when polarised light is scattered by a turbid medium. We present experimental observations of these intensity variations in colloidal suspensions over a wide range…

Disordered Systems and Neural Networks · Physics 2007-05-23 Venkatesh Gopal , Hema Ramachandran , A. K. Sood

Ghost imaging reconstructs spatial information from a single-pixel bucket detector by correlating structured illumination patterns with scalar intensity measurements. While deep learning approaches have achieved promising results on static…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Vittorio Palladino , Ahmet Enis Cetin

The correct insertion of virtual objects in images of real-world scenes requires a deep understanding of the scene's lighting, geometry and materials, as well as the image formation process. While recent large-scale diffusion models have…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Ruofan Liang , Zan Gojcic , Merlin Nimier-David , David Acuna , Nandita Vijaykumar , Sanja Fidler , Zian Wang

We consider the problem of imaging of objects buried under the ground using backscattering experimental time dependent measurements generated by a single point source or one incident plane wave. In particular, we estimate dielectric…

Mathematical Physics · Physics 2014-06-16 Nguyen Trung Thành , Larisa Beilina , Michael V. Klibanov , Michael A. Fiddy

We report, for the first time, the observation of sub-wavelength coherent image of a pure phase object with thermal light,which represents an accurate Fourier transform. We demonstrate that ghost-imaging scheme (GI) retrieves amplitude…

Quantum Physics · Physics 2013-09-27 Minghui Zhang , Qing Wei , Xia Shen , Yongfeng Liu , Honglin Liu , Yanfeng Bai , Shensheng Han

Three-dimensional (3D) high-resolution imaging is essential in microscopy, yet light scattering poses significant challenges in achieving it. Here, we present an approach to holographic imaging of spatially incoherent objects through…

Optics · Physics 2025-02-04 YoonSeok Baek , Hilton B. de Aguiar , Sylvain Gigan

We demonstrate experimentally ghost optical coherence tomography using a broadband incoherent supercontinuum light source with shot-to-shot random spectral fluctuations. The technique is based on ghost imaging in the spectral domain where…

Ghost imaging (GI) is an intriguing imaging technology which achieves the object images through intensity correlation between reference patterns and bucket signal. Here, we propose a probability model to explain the imaging mechanism of…

Image and Video Processing · Electrical Eng. & Systems 2020-12-04 Wen-Kai Yu , Jian Leng

Temporal ghost imaging (TGI) enables ultrafast temporal signal recovery using slow detectors, offering a promising route for high-speed mid-infrared (MIR) detection. However, conventional schemes remain limited in temporal resolution by the…

Optics · Physics 2026-05-22 Wen Zhang , Kun Huang , Zhibin Zhao , Huijie Ma , Ziyu He , Jianan Fang , Heping Zeng

We propose a new method to image fluorescent objects through turbid media base on Airy beam scanning. This is achieved by using the non-diffractive nature of Airy beams, namely their ability to maintain their shape while penetrating through…

Optics · Physics 2019-05-01 Harel Nagar , Yael Roichman

Traditional ghost imaging acquires images via the correlation of the intensity fluctuations of reference patterns and bucket values, and can even generate positive-negative images by conditionally averaging partial patterns. Here, we…

Image and Video Processing · Electrical Eng. & Systems 2019-11-19 Ya-Xin Li , Wen-Kai Yu , Shuo-Fei Wang

Capturing images is a key part of automation for high-level tasks such as scene text recognition. Low-light conditions pose a challenge for high-level perception stacks, which are often optimized on well-lit, artifact-free images.…

Image and Video Processing · Electrical Eng. & Systems 2023-11-01 Cindy M. Nguyen , Eric R. Chan , Alexander W. Bergman , Gordon Wetzstein