Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation

The state of the art in video super-resolution (SR) are techniques based on deep learning, but they perform poorly on real-world videos (see Figure 1). The reason is that training image-pairs are commonly created by downscaling a high-resolution image to produce a low-resolution counterpart. Deep mo...

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Veröffentlicht in:	arXiv.org 2021-05
Hauptverfasser:	Elron, Noam, Itskovich, Alex, Yuval, Shahar S, Levy, Noam
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decoupling Digital imaging Image resolution Machine learning Noise reduction Parameter estimation Pixels Real time Training Video
Online-Zugang:	Volltext
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