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Three-dimensional (3D) refractive index (RI) tomography offers label-free, quantitative volumetric imaging but faces limitations due to optical aberrations, limited resolution, and the computational complexity inherent to existing…

X-Ray Fluorescence (XRF) scanning is a widespread technique of high importance and impact since it provides chemical composition maps crucial for several scientific investigations. There are continuous requirements for larger, faster and…

Data Analysis, Statistics and Probability · Physics 2020-05-13 George Kourousias , Fulvio Billè , Roberto Borghes , Antonio Alborini , Simone Sala , Roberto Alberti , Alessandra Gianoncelli

Novel view synthesis of static scenes has achieved remarkable advancements in producing photo-realistic results. However, key challenges remain for immersive rendering of dynamic scenes. One of the seminal image-based rendering method, the…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Wenpeng Xing , Jie Chen

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

A solution to the inversion problem of scattering would offer aberration-free diffraction-limited 3D images without the resolution and depth-of-field limitations of lens-based tomographic systems. Powerful algorithms are increasingly being…

Recent development of lensless imagers has enabled three-dimensional (3D) imaging through a thin piece of optics in close proximity to a camera sensor. A general challenge of wide-field lensless imaging is the high computational complexity…

Optics · Physics 2021-08-17 Feng Tian , Junjie Hu , Weijian Yang

The Fourier inversion of phased coherent diffraction patterns offers images without the resolution and depth-of-focus limitations of lens-based tomographic systems. We report on our recent experimental images inverted using recent…

3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevitably leads to a demand for storage and transmission of…

Signal Processing · Electrical Eng. & Systems 2021-11-22 Gerasimos Arvanitis , Aris S. Lalos , Konstantinos Moustakas

Current 3D inpainting and object removal methods are largely limited to front-facing scenes, facing substantial challenges when applied to diverse, "unconstrained" scenes where the camera orientation and trajectory are unrestricted. To…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Zhihao Shi , Dong Huo , Yuhongze Zhou , Kejia Yin , Yan Min , Juwei Lu , Xinxin Zuo

Ghost imaging (GI) and single-pixel imaging (SPI) techniques enable image reconstruction without spatially resolved detectors, offering unique access to wide spectral ranges and challenging imaging environments. Yet, their adoption has been…

Optics · Physics 2025-12-23 Shin Motooka , Noriki Komori , Tomoaki Niiyama , Satoshi Sunada

X-ray Fluorescence Ghost Imaging (XRF-GI) was recently demonstrated for x-ray lab sources. It has the potential to reduce acquisition time and deposited dose by choosing their trade-off with spatial resolution, while alleviating the…

X-ray computed tomography is a powerful tool for volumetric imaging, but requires the collection of a large number of low-noise projection images, which is often too time consuming, limiting its applicability. In our previous work…

Image and Video Processing · Electrical Eng. & Systems 2025-05-02 Zhenduo Shang , Thomas Blumensath

Purpose: To introduce a combined machine learning (ML) and physics-based image reconstruction framework that enables navigator-free, highly accelerated multishot echo planar imaging (msEPI), and demonstrate its application in…

X-ray fluorescence (XRF) enables element-specific, nondestructive imaging, but conventional raster scanning scales poorly with sample size, particularly for tomography, because measurements must be repeated at every projection angle and…

Optics · Physics 2026-04-14 A. Ben-Yehuda , A. Rack , S. Shwartz , N. Viganò

Differential dynamic microscopy (DDM) is a digital video-microscopy technique for quantitative measurements of the microscale dynamics in soft condensed matter systems. Here, multi-tau pulsed illumination DDM (MTPI-DDM) is introduced as a…

Soft Condensed Matter · Physics 2026-05-19 Emmanuel Schaub , Martinus H. V. Werts

Dark-field X-ray microscopy (DFXM) is a nondestructive full-field imaging technique providing three dimensional mapping of microstructure and local strain fields in deeply embedded crystalline elements. This is achieved by placing an…

Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses has limited clinical application…

The problem of 3D high-resolution imaging in automotive multiple-input multiple-output (MIMO) side-looking radar using a 1D array is considered. The concept of motion-enhanced snapshots is introduced for generating larger apertures in the…

Signal Processing · Electrical Eng. & Systems 2024-12-02 Sen Yuan , Francesco Fioranelli , Alexander Yarovoy

Non-destructive nano-imaging of the internal structure of solid matter is only feasible using hard X-rays due to their high penetration. The highest resolution images are achieved at synchrotron radiation sources (SRF), offering superior…

The design, calibration, and initial application of a non-contact high-temperature furnace developed for in situ synchrotron X-ray experiments are presented. The system enables a stable operation up to 1000 {\deg}C, with heating rates…

Instrumentation and Detectors · Physics 2025-07-02 Louis Lesage , Yves Watier , Helena Isern , Aditya Shukla , Virginia Sanna , Thomas Dufrane , Yubin Zhang , Carsten Detlefs , Can Yildirim