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Ghost imaging (GI) is a potential imaging technique that reconstructs the target scene from its correlated measurements with a sequential of patterns. Restricted by the multi-shot principle, GI usually requires long acquisition time and is…

Optics · Physics 2018-04-12 Chao Deng , Yuwang Wang , Jinli Suo , Zhili Zhang , Qionghai Dai

In this Letter we present experimental results concerning the retrieval of images of absorbing objects immersed in turbid media via differential ghost imaging (DGI) in a backscattering configuration. The method has been applied, for the…

Optics · Physics 2013-03-01 M. Bina , D. Magatti , M. Molteni , A. Gatti , L. A. Lugiato , F. Ferri

The aim of colour constancy is to discount the effect of the scene illumination from the image colours and restore the colours of the objects as captured under a 'white' illuminant. For the majority of colour constancy methods, the first…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Ghalia Hemrit , Joseph Meehan

The long time consumption is a bottleneck for the applicability of the ghost imaging (GI). By introducing a criterion for the convergence of GI, we investigate a factor that impacts on the convergence speed of it. Based on computer…

Quantum Physics · Physics 2014-08-19 Minghui Zhang

Scattering can rapidly degrade our ability to form an optical image, to the point where only speckle-like patterns can be measured. Truly non-invasive imaging through a strongly scattering obstacle is difficult, and usually reliant on a…

Optics · Physics 2022-10-26 Y. Jauregui-Sánchez , Harry Penketh , Jacopo Bertolotti

In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background. The framework consists of two submodels, a global attention model and a local segmentation model. The…

Computer Vision and Pattern Recognition · Computer Science 2018-07-04 Yilin Song , Chenge Li , Yao Wang

Single-pixel imaging (SPI) using a single-pixel detector is an unconventional imaging method, which has great application prospects in many fields to realize high-performance imaging. In especial, the recent proposed catadioptric panoramic…

Optics · Physics 2024-07-30 Huan Cui , Jie Cao , Haoyu Zhang , Chang Zhou , Haifeng Yao , Yingbo Wang , Qun Hao

Noise is a significant challenge in imaging. Conventional intensity-based techniques mitigate noise through various filtering methods, but they often require prior knowledge of noise characteristics and struggle, especially under low-light…

Optics · Physics 2026-05-12 Pranay Mohta , Keval Moliya , Aniket Nag , Shaurya Aarav , Anand Kumar Jha

In many applications, such as development and testing of image processing algorithms, it is often necessary to simulate images containing realistic noise from solid-state photosensors. A high-level model of CCD and CMOS photosensors based…

Instrumentation and Methods for Astrophysics · Physics 2014-12-15 Mikhail Konnik , James Welsh

We present a new technique, iterative fluctuation ghost imaging (IFGI) which dramatically enhances the resolution of ghost imaging (GI). It is shown that, by the fluctuation characteristics of the second-order correlation function, the…

Optics · Physics 2023-04-25 Huan Zhao , Xiao-Qian Wang , Chao Gao , Zhuo Yu , Hong Wang , Yu Wang , Li-Dan Gou , Zhi-Hai Yao

Computational ghost imaging needs to acquire a large number of correlated measurements between reference patterns and the scene for reconstruction, so extremely high acquisition speed is crucial for fast ghost imaging. With the development…

Optics · Physics 2015-06-11 Jinli Suo , Yudong Xiao , Liheng Bian , Lei Zhang , Qionghai Dai

Modern interferometers such as LIGO have achieved sensitivities limited by quantum noise, comprised of radiation pressure and shot noise. To mitigate this noise, a static system is employed that minimizes the quantum noise within the…

Quantum Physics · Physics 2024-08-30 Scott Aronson , Ronald Pagano , Torrey Cullen , Garrett D. Cole , Thomas Corbitt

In general, background subtraction-based methods are used to detect moving objects in visual tracking applications. In this paper, we employed a background subtraction-based scheme to detect the temporarily stationary objects. We proposed…

Computer Vision and Pattern Recognition · Computer Science 2025-06-18 Deepak Ghimire , Joonwhoan Lee

Moving object detection has been a central topic of discussion in computer vision for its wide range of applications like in self-driving cars, video surveillance, security, and enforcement. Neuromorphic Vision Sensors (NVS) are…

Computer Vision and Pattern Recognition · Computer Science 2021-12-03 Anindya Mondal , Shashant R , Jhony H. Giraldo , Thierry Bouwmans , Ananda S. Chowdhury

High-resolution array detectors are widely used in single-particle tracking, but their performance is limited by excess noise from background light and dark current. As pixel resolution increases, the diminished signal per pixel exacerbates…

Quantum Physics · Physics 2025-12-16 Chao-Ning Hu , Jun Xin , Xiao-Ming Lu

We present a device that exploits spatial and spectral correlations in parametric downconversion at once. By using a ghost imaging arrangement, we have been able to reconstruct remotely the frequency profile of a composite system. The…

Quantum Physics · Physics 2023-08-07 Andrea Chiuri , Federico Angelini , Simone Santoro , Marco Barbieri , Ilaria Gianani

Sliding window approaches have been widely used for object recognition tasks in recent years. They guarantee an investigation of the entire input image for the object to be detected and allow a localization of that object. Despite the…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Julian Müller , Andreas Fregin , Klaus Dietmayer

Compared to color images captured by conventional RGB cameras, monochrome images usually have better signal-to-noise ratio (SNR) and richer textures due to its higher quantum efficiency. It is thus natural to apply a mono-color dual-camera…

Computer Vision and Pattern Recognition · Computer Science 2021-08-18 Ze-Hua Sheng , Hui-Liang Shen , Bo-Wen Yao , Huaqi Zhang

In modern correlation imaging systems, also known as ghost imaging (GI), particularly under low-light or noisy conditions, preserving high image fidelity presents a significant challenge. This paper introduces an innovative approach by…

Optics · Physics 2026-03-02 Hao Jiang , Shuang Liu , Chentao Yue , Zihuai Lin

In this paper, we present a method for speckle pattern design using deep learning. The speckle patterns possess unique features after experiencing convolutions in Speckle-Net, our well-designed framework for speckle pattern generation. We…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Xiaoyu Nie , Haotian Song , Wenhan Ren , Xingchen Zhao , Zhedong Zhang , Tao Peng , Marlan O. Scully