Results 51 to 60 of about 360,556 (315)
Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows [PDF]
Journal of Fluid Mechanics, 2020 We present a new data reconstruction method with supervised machine learning techniques inspired by super resolution and inbetweening to recover high-resolution turbulent flows from grossly coarse flow data in space and time.
Kai Fukami, K. Fukagata, K. Taira
semanticscholar +1 more source
Single-shot 3D coherent diffractive imaging of core-shell nanoparticles with elemental specificity. [PDF]
, 2018 We report 3D coherent diffractive imaging (CDI) of Au/Pd core-shell nanoparticles with 6.1 nm spatial resolution with elemental specificity. We measured single-shot diffraction patterns of the nanoparticles using intense x-ray free electron laser pulses.
Dias, Carlos Sato Baraldi +31 more
core +3 more sources
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution
, 2016 Motion estimation across low-resolution frames and the reconstruction of high-resolution images are two coupled subproblems of multi-frame super-resolution.
Bercea, Cosmin +2 more
core +1 more source
A super-resolution imaging approach via subwavelength hole resonances
, 2020 This work presents a new super-resolution imaging approach by using subwavelength hole resonances. We employ a subwavelength structure in which an array of tiny holes are etched in a metallic slab with the neighboring distance $\ell$ that is smaller than
Lin, Junshan, Zhang, Hai
core +1 more source
Cygnus A super-resolved via convex optimisation from VLA data [PDF]
, 2018 We leverage the Sparsity Averaging Reweighted Analysis (SARA) approach for interferometric imaging, that is based on convex optimisation, for the super-resolution of Cyg A from observations at the frequencies 8.422GHz and 6.678GHz with the Karl G. Jansky
Abdulaziz, Abdullah +5 more
core +2 more sources
Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction
IEEE Transactions on Medical Imaging, 2022 The interpretation and analysis of Magnetic resonance imaging (MRI) benefit from high spatial resolution. Unfortunately, direct acquisition of high spatial resolution MRI is time-consuming and costly, which increases the potential for motion artifact ...
Yao Sui +4 more
semanticscholar +1 more source
Enhancing face recognition at a distance using super resolution [PDF]
, 2012 The characteristics of surveillance video generally include low-resolution images and blurred images. Decreases in image resolution lead to loss of high frequency facial components, which is expected to adversely affect recognition rates.
Al-Hassan, Nadia +2 more
core +1 more source
Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral image (HSI) has garnered increasing attention due to its capacity for capturing extensive spectral information. However, the acquisition of high spatial resolution HSIs is often restricted by current imaging hardware limitations.
Yuchao Yang +6 more
semanticscholar +1 more source
The Physics of Fluids, 2022 This paper reports experiments on a hydrogen-fueled scramjet performed at different equivalence ratios in a ground pulse combustion wind tunnel with a Mach-2.5 incoming flow.
Mingming Guo +6 more
semanticscholar +1 more source
Guided Cascaded Super-Resolution Network for Face Image
IEEE Access, 2020 The image super-resolution algorithm can overcome the imaging system's hardware limitation and obtain higher resolution and clearer images. Existing super-resolution methods based on convolutional neural networks(CNN) can learn the mapping relationship ...
Lin Cao +4 more
doaj +1 more source