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3D vision is of paramount importance for numerous applications ranging from machine intelligence to precision metrology. Despite much recent progress, the majority of 3D imaging hardware remains bulky and complicated and provides much lower…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Zicheng Shen , Feng Zhao , Yibo Ni , Yuanmu Yang

We propose a compact snapshot monocular depth estimation technique that relies on an engineered point spread function (PSF). Traditional approaches used in microscopic super-resolution imaging such as the Double-Helix PSF (DHPSF) are…

Image and Video Processing · Electrical Eng. & Systems 2022-08-05 Bhargav Ghanekar , Vishwanath Saragadam , Dushyant Mehra , Anna-Karin Gustavsson , Aswin Sankaranarayanan , Ashok Veeraraghavan

As a computer vision task, automatic object segmentation remains challenging in specialized image domains without massive labeled data, such as synthetic aperture sonar images, remote sensing, biomedical imaging, etc. In any domain,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Hassan Baker , Matthew S. Emigh , Austin J. Brockmeier

Diffusion MRI (dMRI) is a unique imaging technique for in vivo characterization of tissue microstructure and white matter pathways. However, its relatively long acquisition time implies greater motion artifacts when imaging, for example,…

Medical Physics · Physics 2020-02-26 Yoonmi Hong , Wei-Tang Chang , Geng Chen , Ye Wu , Weili Lin , Dinggang Shen , Pew-Thian Yap

Recently introduced speckle-correlations based techniques enable noninvasive imaging of objects hidden behind scattering layers. In these techniques the hidden object Fourier amplitude is retrieved from the scattered light autocorrelation,…

Optics · Physics 2022-01-19 Tengfei Wu , Ori Katz , Xiaopeng Shao , Sylvain Gigan

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

Edge Detection Methods Based on Differential Phase Congruency of Monogenic Image Abstract: Edge detection has been widely used in medical image processing and automatic diagnosis. Some novel edge detection algorithms,based on the monogenic…

Classical Analysis and ODEs · Mathematics 2016-12-19 Yan Yang , Kit Ian Kou , Cuiming Zou

Fluorescence imaging is indispensable to biology and neuroscience. The need for large-scale imaging in freely behaving animals has further driven the development in miniaturized microscopes (miniscopes). However, conventional microscopes /…

Optics · Physics 2020-10-29 Yujia Xue , Ian G. Davison , David A. Boas , Lei Tian

For conventional imaging, the imaging resolution limit is given by the Rayleigh criterion. Exploiting the prior knowledge of imaging object's sparsity and fixed optical system, imaging beyond the conventional Rayleigh limit, which is backed…

Optics · Physics 2014-05-30 Wenlin Gong , Shensheng Han

The resolving ability of widefield fluorescence microscopy is fundamentally limited by out-of-focus background owing to its low axial resolution, particularly for densely labeled biological samples. Although total internal reflection…

High-frequency demodulation of wide area optical signals in a snapshot manner is a technological challenge that, if solved, could open tremendous perspectives in 3D imaging, free-space communications, or even ballistic photon imaging in…

Instrumentation and Detectors · Physics 2020-02-19 Swapnesh Panigrahi , Julien Fade , Romain Agaisse , Hema Ramachandran , Mehdi Alouini

The Virtual Telescope for X-Ray Observations (VTXO) is a conceptual mission under development to demonstrate a new instrument for astronomical observations in the X-ray band using a set of 6U CubeSats. VTXO will use a Phase Fresnel Lens,…

Instrumentation and Methods for Astrophysics · Physics 2018-07-18 Kyle Rankin , Steven Stochaj , Neerav Shah , John Krizmanic , Asal Naseri

This paper tackles the task of semi-supervised video object segmentation, i.e., the separation of an object from the background in a video, given the mask of the first frame. We present One-Shot Video Object Segmentation (OSVOS), based on a…

Computer Vision and Pattern Recognition · Computer Science 2017-04-14 Sergi Caelles , Kevis-Kokitsi Maninis , Jordi Pont-Tuset , Laura Leal-Taixé , Daniel Cremers , Luc Van Gool

Compared with still image object detection, video object detection (VOD) needs to particularly concern the high across-frame variation in object appearance, and the diverse deterioration in some frames. In principle, the detection in a…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Yuheng Shi , Tong Zhang , Xiaojie Guo

Line segment detection plays a cornerstone role in computer vision tasks. Among numerous detection methods that have been recently proposed, the ones based on edge drawing attract increasing attention owing to their excellent detection…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Xinyu Lin , Yingjie Zhou , Yipeng Liu , Ce Zhu

This paper proposes a deep neural network structure that exploits edge information in addressing representative low-level vision tasks such as layer separation and image filtering. Unlike most other deep learning strategies applied in this…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Qingnan Fan , Jiaolong Yang , Gang Hua , Baoquan Chen , David Wipf

The structure and dynamics of isolated nanosamples in free flight can be directly visualized via single-shot coherent diffractive imaging using the intense and short pulses of X-ray free-electron lasers. Wide-angle scattering images even…

A new method for dark field imaging is introduced which uses scanned electron diffraction (or 4DSTEM - 4-dimensional scanning transmission electron microscopy) datasets as its input. Instead of working on simple summation of intensity, it…

Materials Science · Physics 2024-09-18 Ian MacLaren , Andrew T. Fraser , Matthew R. Lipsett , Colin Ophus

Wide-field and high-resolution (HR) imaging is essential for various applications such as aviation reconnaissance, topographic mapping and safety monitoring. The existing techniques require a large-scale detector array to capture HR images…

Computer Vision and Pattern Recognition · Computer Science 2021-11-03 Lintao Peng , Liheng Bian , Tiexin Liu , Jun Zhang

Single-shot X-ray imaging of short-lived nanostructures such as clusters and nanoparticles near a phase transition or non-crystalizing objects such as large proteins and viruses is currently the most elegant method for characterizing their…

Atomic and Molecular Clusters · Physics 2020-10-14 Thomas Stielow , Robin Schmidt , Christian Peltz , Thomas Fennel , Stefan Scheel
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