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Free-space modulation of light is crucial for many applications, from light detection and ranging to virtual or augmented reality. Traditional means of modulating free-space light involves spatial light modulators based on liquid crystals…

We report the first (to our knowledge) experimental demonstration of lensless ghost imaging with true thermal light. Although there is no magnification, the method is suitable for all wavelengths and so may find special applications in…

Quantum Physics · Physics 2009-11-13 Xi-Hao Chen , Qian Liu , Kai-Hong Luo , Ling-An Wu

Light shaping facilitates the preparation and detection of optical states and underlies many applications in communications, computing, and imaging. In this Letter, we generalize light shaping to the quantum domain. We show that patterns of…

Optics · Physics 2018-12-27 Hugo Defienne , Matthew Reichert , Jason W. Fleischer

Structured light is a key component of many modern applications, ranging from superresolution microscopy to imaging, sensing, and quantum information processing. As the utilization of these powerful tools continues to spread, the demand for…

Classical ghost imaging is a computational imaging technique that employs patterned illumination. It is very similar in concept to the single-pixel camera in that an image may be reconstructed from a set of measurements even though all…

Image and Video Processing · Electrical Eng. & Systems 2021-03-10 Andrew M. Kingston , Wilfred K. Fullagar , Glenn R. Myers , Daishi Adams , Daniele Pelliccia , David M. Paganin

Scattering, especially multiple scattering, is a well known problem in imaging, ranging from astronomy to medicine. In particular it is often desirable to be able to perform non-invasive imaging through turbid and/or opaque media. Many…

Optics · Physics 2024-04-23 Harry Penketh , Jacopo Bertolotti

We present a theoretical study of ghost imaging by using blackbody radiation source. A Gaussian thin lens equation for the ghost imaging, which depends on both paths, is derived. The dependences of the visibility and quality of the image on…

Quantum Physics · Physics 2007-05-23 Yangjian Cai , Shiyao Zhu

Many imaging technologies rely on tomographic reconstruction, which requires solving a multidimensional inverse problem given a finite number of projections. Backprojection is a popular class of algorithm for tomographic reconstruction,…

Image and Video Processing · Electrical Eng. & Systems 2020-06-03 Xueqing Liu , Paul Sajda

Ghost imaging is usually based on optoelectronic process and eletronic computing. We here propose a new ghost imaging scheme, which avoids any optoelectronic or electronic process. Instead, the proposed scheme exploits all-optical…

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

Computational ghost imaging relies on the decomposition of an image into patterns that are summed together with weights that measure the overlap of each pattern with the scene being imaged. These tasks rely on a computer. Here we…

Neurons and Cognition · Quantitative Biology 2019-03-27 Alessandro Boccolini , Alessandro Fedrizzi , Daniele Faccio

Optical imaging through scattering media is an important challenge in a variety of fields ranging from microscopy to autonomous vehicles. While advanced wavefront shaping techniques have offered significant breakthroughs in the past decade,…

Optics · Physics 2023-05-23 Omri Haim , Jeremy Boger-Lombard , Ori Katz

Polarization is a fundamental property of light that encodes abundant information regarding surface shape, material, illumination and viewing geometry. The computer vision community has witnessed a blossom of polarization-based vision…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Zhuoxiao Li , Zhihang Zhong , Shohei Nobuhara , Ko Nishino , Yinqiang Zheng

Differentiable rendering is a technique to connect 3D scenes with corresponding 2D images. Since it is differentiable, processes during image formation can be learned. Previous approaches to differentiable rendering focus on mesh-based…

Computer Vision and Pattern Recognition · Computer Science 2020-03-25 Cong Gao , Xingtong Liu , Wenhao Gu , Benjamin Killeen , Mehran Armand , Russell Taylor , Mathias Unberath

Transmitting structured light robustly through complex random media is crucial in many applications, from sensing to communication. Unfortunately, the spatial structure of light is distorted in such media due to refractive index…

Optics · Physics 2025-08-19 Cade Peters , Kelsey Everts , Tatjana Kleine , Pedro Ornelas , Andrew Forbes

Providing artificial light and enhancing the quality of the respective light sources is of continued interest in the fields of solid state-, condensed matter, and semiconductor physics. A lot of research has been done to increase luminous…

One of the most surprising consequences of quantum mechanics is the nonlocal multi-particle interference observable in joint-detection of distant particle-detectors. Ghost imaging is one of such phenomena. Two types of ghost imaging have…

Quantum Physics · Physics 2009-09-29 Yanhua Shih

Muon imaging is one of the most promising non-invasive techniques for density structure scanning, specially for large objects reaching the kilometre scale. It has already interesting applications in different fields like geophysics or…

Instrumentation and Detectors · Physics 2017-12-14 H. Gómez , D. Gibert , C. Goy , K. Jourde , Y. Karyotakis , S. Katsanevas , J. Marteau , M. Rosas-Carbajal , A. Tonazzo

Controlling complex light waves to achieve desired behaviours or characteristics on demand presents a significant challenge. This task becomes even more complicated when manipulating speckled light beams owing to their inherently fuzzy…

We propose a new system to visualize depth-dependent patterns and images on solid objects with complex geometry using multiple projectors. The system, despite consisting of conventional passive LCD projectors, is able to project different…

Computer Vision and Pattern Recognition · Computer Science 2016-09-13 Takuto Hirukawa , Marco Visentini-Scarzanella , Hiroshi Kawasaki , Ryo Furukawa , Shinsaku Hiura

Learning neural radiance fields of a scene has recently allowed realistic novel view synthesis of the scene, but they are limited to synthesize images under the original fixed lighting condition. Therefore, they are not flexible for the…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Quan Zheng , Gurprit Singh , Hans-Peter Seidel
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