Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Wohlberg, Brendt"'
Autor:
Lin, Youzuo, Feng, Shihang, Theiler, James, Chen, Yinpeng, Villa, Umberto, Rao, Jing, Greenhall, John, Pantea, Cristian, Anastasio, Mark A., Wohlberg, Brendt
Computational wave imaging (CWI) extracts hidden structure and physical properties of a volume of material by analyzing wave signals that traverse that volume. Applications include seismic exploration of the Earth's subsurface, acoustic imaging and n
Externí odkaz:
http://arxiv.org/abs/2410.08329
Flash X-ray computed tomography (CT) is an important imaging modality for characterization of high-speed dynamic events, such as Kolsky bar impact experiments for the study of mechanical properties of materials subjected to impulsive forces. Due to e
Externí odkaz:
http://arxiv.org/abs/2406.17928
Autor:
Gan, Weijie, Zhai, Qiuchen, McCann, Michael Thompson, Cardona, Cristina Garcia, Kamilov, Ulugbek S., Wohlberg, Brendt
Ptychography is an imaging technique that captures multiple overlapping snapshots of a sample, illuminated coherently by a moving localized probe. The image recovery from ptychographic data is generally achieved via an iterative algorithm that solves
Externí odkaz:
http://arxiv.org/abs/2310.07504
Autor:
Lozenski, Luke, Wang, Hanchen, Li, Fu, Anastasio, Mark A., Wohlberg, Brendt, Lin, Youzuo, Villa, Umberto
Ultrasound computed tomography (USCT) is an emerging imaging modality that holds great promise for breast imaging. Full-waveform inversion (FWI)-based image reconstruction methods incorporate accurate wave physics to produce high spatial resolution q
Externí odkaz:
http://arxiv.org/abs/2308.16290
Multi-Agent Consensus Equilibrium (MACE) formulates an inverse imaging problem as a balance among multiple update agents such as data-fitting terms and denoisers. However, each such agent operates on a separate copy of the full image, leading to redu
Externí odkaz:
http://arxiv.org/abs/2303.15679
There has been significant recent interest in the use of deep learning for regularizing imaging inverse problems. Most work in the area has focused on regularization imposed implicitly by convolutional neural networks (CNNs) pre-trained for image rec
Externí odkaz:
http://arxiv.org/abs/2303.05386
Accurate reconstruction of 2D and 3D isotope densities is a desired capability with great potential impact in applications such as evaluation and development of next-generation nuclear fuels. Neutron time-of-flight (TOF) resonance imaging offers a po
Externí odkaz:
http://arxiv.org/abs/2302.12577
Autor:
Goyes, Paul, Vargas, Edwin, Correa, Claudia, Sun, Yu, Kamilov, Ulugbek, Wohlberg, Brendt, Arguello, Henry
Physical and budget constraints often result in irregular sampling, which complicates accurate subsurface imaging. Pre-processing approaches, such as missing trace or shot interpolation, are typically employed to enhance seismic data in such cases. R
Externí odkaz:
http://arxiv.org/abs/2211.11889
Plug-and-Play Priors (PnP) is one of the most widely-used frameworks for solving computational imaging problems through the integration of physical models and learned models. PnP leverages high-fidelity physical sensor models and powerful machine lea
Externí odkaz:
http://arxiv.org/abs/2203.17061
Ptychography is a computational imaging technique using multiple, overlapping, coherently illuminated snapshots to achieve nanometer resolution by solving a nonlinear phase-field recovery problem. Ptychography is vital for imaging of manufactured nan
Externí odkaz:
http://arxiv.org/abs/2111.14240