Mar 1, 2020 · We propose a weak texture information map guided image super-resolution with deep residual networks. It contains three sub-networks.
Jun 12, 2021 · We propose a SISR method which owns unique weak texture information prediction module and call it as weak texture information map guided image super-resolution ...
To solve these problems, we propose a weak texture information map guided image super-resolution with deep residual networks. It contains three sub-networks ...
A SISR method is proposed which owns unique weak texture information prediction module and is called asWeak texture information map guided image ...
Weak texture information map guided image super-resolution with deep ...
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Abstract: Limited by the poor quality of the camera, transmission bandwidth, excessive compression and other factors, low-resolution images widely exist in ...
It contains three sub-networks, one main network which extracts the main features and fuses week texture details, another two auxiliary networks extract the ...
Missing: Weak | Show results with:Weak
To solve these problems, we propose a week texture information map guided image super-resolution with deep residual networks. It contains three sub-networks, ...
Missing: Weak | Show results with:Weak
On this basis, a guided residual block is built, which can compensate for part of the high-frequency information and improve the convergence of the network. On ...
Weak texture information map guided image super-resolution with deep residual networks · Computer Science, Engineering. Multimedia tools and applications · 2021.
Feb 10, 2023 · This paper proposes a different approach to increase spatial and angular information interaction for LF image super-resolution (SR).