Results 41 to 50 of about 209,737 (306)

Super Resolution Imaging Needs Better Registration for Better Quality Results [PDF]

open access: yes, 2012
In this paper, trade-off between effect of registration error and number of images used in the process of super resolution image reconstruction is studied.
K, K. G. (Kharate)   +2 more
core   +1 more source

Zoom in to the details of human-centric videos

open access: yes, 2020
Presenting high-resolution (HR) human appearance is always critical for the human-centric videos. However, current imagery equipment can hardly capture HR details all the time.
Fang, Lu   +4 more
core   +1 more source

Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution

open access: yes, 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

Cygnus A super-resolved via convex optimisation from VLA data [PDF]

open access: yes, 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

MisoSR: Medical Image Isotropic Super-Resolution Reconstruction

open access: yesThe MIDAS Journal, 2015
Isotropic volumetric acquisition in Magnetic Resonance Imaging (MRI) is often challenging. A large number of factors such as patient or physiological motion, signal-to-noise ratio (SNR), available static magnetic field B0 and total scanning time limit the acquired resolution.
van Reeth, Eric   +4 more
openaire   +2 more sources

Guided Cascaded Super-Resolution Network for Face Image

open access: yesIEEE 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

Mechanisms of parasite‐mediated disruption of brain vessels

open access: yesFEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira   +3 more
wiley   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

open access: yesFEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka   +11 more
wiley   +1 more source

Class IIa HDACs forced degradation allows resensitization of oxaliplatin‐resistant FBXW7‐mutated colorectal cancer

open access: yesMolecular Oncology, EarlyView.
HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto   +13 more
wiley   +1 more source

Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data

open access: yes, 2017
Super-resolution is a classical problem in image processing, with numerous applications to remote sensing image enhancement. Here, we address the super-resolution of irregularly-sampled remote sensing images.
Ailliot, Pierre   +3 more
core   +2 more sources

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