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Imaging in low light is difficult because the number of photons arriving at the sensor is low. Imaging dynamic scenes in low-light environments is even more difficult because as the scene moves, pixels in adjacent frames need to be aligned…

图像与视频处理 · 电气工程与系统科学 2020-07-20 Yiheng Chi , Abhiram Gnanasambandam , Vladlen Koltun , Stanley H. Chan

We develop a novel method for detection of signals and reconstruction of images in the presence of random noise. The method uses results from percolation theory. We specifically address the problem of detection of multiple objects of…

应用统计 · 统计学 2013-12-02 Mikhail Langovoy , Michael Habeck , Bernhard Schölkopf

Coded Aperture Imaging (CAI) has been proposed as an alternative collimation technique in nuclear imaging. To maximize spatial resolution small pinholes in the coded aperture mask are required. However, a high-resolution detector is needed…

医学物理 · 物理学 2023-06-16 Tobias Meißner , Werner Nahm , Jürgen Hesser , Nikolas Löw

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…

Hyperspectral imaging (HSI) has a wide range of applications from environmental monitoring to biotechnology. Current snapshot HSI techniques all require a trade-off between spatial and spectral resolution and are thus unable to achieve high…

光学 · 物理学 2023-01-11 Yingwen Zhang , Duncan England , Benjamin Sussman

We present Quanta Diffusion (QuDi), a powerful generative video reconstruction method for single-photon imaging. QuDi is an algorithm supporting the latest Quanta Image Sensors (QIS) and Single Photon Avalanche Diodes (SPADs) for extremely…

图像与视频处理 · 电气工程与系统科学 2025-10-14 Prateek Chennuri , Dongdong Fu , Stanley H. Chan

Imaging systems' performance at low light intensity is affected by shot noise, which becomes increasingly strong as the power of the light source decreases. In this paper we experimentally demonstrate the use of deep neural networks to…

图像与视频处理 · 电气工程与系统科学 2018-12-19 Alexandre Goy , Kwabena Arthur , Shuai Li , George Barbastathis

Temporal Ghost Imaging (TGI), which reconstructs fast temporal signals using a slow detector, holds significant potential in optical communication, high-speed imaging, and quantum information processing. However, achieving high-quality…

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…

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

X-ray dark-field imaging creates a representation of the sample where contrast is generated by subresolution features within the volume under inspection. These are detected by a local measurement of the radiation field's angular…

Raw images taken in low-light conditions are very noisy due to low photon count and sensor noise. Learning-based denoisers have the potential to reconstruct high-quality images. For training, however, these denoisers require large paired…

计算机视觉与模式识别 · 计算机科学 2025-12-04 Liying Lu , Raphaël Achddou , Sabine Süsstrunk

A novel quantum imaging technique has recently been demonstrated in an experiment, where the photon used for illuminating an object is not detected; the image is obtained by interfering two beams, none of which ever interacts with the…

量子物理 · 物理学 2015-08-06 Mayukh Lahiri , Radek Lapkiewicz , Gabriela Barreto Lemos , Anton Zeilinger

In this article, we introduce a framework for quantum state tomography of qutrits by projective measurements. The framework is based on photon-counting with measurement results distorted due to the Poisson noise and dark counts. Two…

量子物理 · 物理学 2021-10-26 Jakub Szlachetka , Artur Czerwinski

In a noisy environment with weak single levels, quantum illumination can outperform classical illumination in determining the presence and range of a target object even in the limit of sub-optimal measurements based on non-simultaneous,…

量子物理 · 物理学 2023-08-08 Richard J. Murchie , Jonathan D. Pritchard , John Jeffers

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…

Knowledge gained through X-ray crystallography fostered structural determination of materials and greatly facilitated the development of modern science and technology in the past century. Atomic details of sample structures is achievable by…

光学 · 物理学 2016-09-14 Hong Yu , Ronghua Lu , Shensheng Han , Honglan Xie , Guohao Du , Tiqiao Xiao , Daming Zhu

In the last years several proof of principle experiments have demonstrated the advantages of quantum technologies respect to classical schemes. The present challenge is to overpass the limits of proof of principle demonstrations to approach…

量子物理 · 物理学 2017-01-31 Nigam Samantaray , Ivano Ruo-Berchera , Alice Meda , Marco Genovese

In turbid media, scattering of light scrambles information of the incident beam and represents an obstacle to optical imaging. Noninvasive imaging through opaque layers is challenging for dynamic and wide-field objects due to unreliable…

光学 · 物理学 2018-10-17 Yuan Yuan , Hui Chen

We analyse a novel squeezing and entangling mechanism which is due to correlated Stokes and anti-Stokes photon forward scattering in a multi-level atom vapour. Following the proposal we present an experimental demonstration of 3.5 dB pulsed…

量子物理 · 物理学 2010-12-30 W. Wasilewski , T. Fernholz , K. Jensen , L. S. Madsen , H. Krauter , C. Muschik , E. S. Polzik

The reliable characterization of quantum states is a fundamental task in quantum information science. For this purpose, quantum state tomography provides a standard framework for reconstructing quantum states from measurement data, yet it…

量子物理 · 物理学 2026-04-14 Yixuan Hu , Mengru Ma , Jiangwei Shang