Video Super-Resolution With Convolutional Neural Networks

Convolutional neural networks (CNN) are a special type of deep neural networks (DNN). They have so far been successfully applied to image super-resolution (SR) as well as other image restoration tasks. In this paper, we consider the problem of video super-resolution. We propose a CNN that is trained...

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Veröffentlicht in:	IEEE transactions on computational imaging 2016-06, Vol.2 (2), p.109-122
Hauptverfasser:	Kappeler, Armin, Seunghwan Yoo, Qiqin Dai, Katsaggelos, Aggelos K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer architecture Convolutional Neural Networks Deep Learning Deep Neural Networks Dictionaries Frames Image reconstruction Neural networks Spatial resolution State of the art Tasks Training Video Super-Resolution
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