Image super‐resolution via dynamic network
Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐resolution. However, obtained information of these convolutional neural networks cannot completely express predicted high‐quality images ...
Chunwei Tian +4 more
doaj +1 more source
Integrating Lateral Super-Resolution and Axial Progression Reveals Distinct Clathrin Pit Formation Pathways. [PDF]
Thompson C +3 more
europepmc +1 more source
Super-Resolution Imaging With Fluorotellurite Glass Microspheres. [PDF]
Zhuo H +13 more
europepmc +1 more source
Stoichiometrically Defined Antibody-DNA Conjugates for Quantitative Super-Resolution Imaging. [PDF]
Martinez LP +7 more
europepmc +1 more source
Efficient Super-Resolution Bayesian Eletromagnetic Brain Imaging. [PDF]
Cai C +6 more
europepmc +1 more source
Super-Resolution solid-state NMR Spectroscopy. [PDF]
Gampp O +3 more
europepmc +1 more source
A Scene-Adaptive Super-Resolution Framework for Video Compression. [PDF]
Zha Q, Guo J.
europepmc +1 more source
A series of spontaneously blinking dyes for super-resolution microscopy. [PDF]
Holland KL +20 more
europepmc +1 more source
Super-resolution imaging of limited-size objects. [PDF]
Chang T, Adamo G, Zheludev NI.
europepmc +1 more source
Cryogenic Super-Resolution Imaging of Local Photocurrent in Photoconductive Infrared Detectors. [PDF]
Ma L +6 more
europepmc +1 more source

