Improved edge-guided network for single image super-resolution

In recent years, deep learning has been successfully applied to image super-resolution. It is still a challenge to reconstruct high-frequency details from low-resolution images. However, many works lack attention to the high-frequency part. We find that edge prior information can be used to extract...

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Veröffentlicht in:	Multimedia tools and applications 2022, Vol.81 (1), p.343-365
Hauptverfasser:	Zhao, Jie, Chen, Zhenxue, Wu, Q. M. Jonathan, Li, Xianming, Cai, Lei, Zhu, Kai
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Communication Networks Computer Science Data Structures and Information Theory Deep learning Feature extraction Image reconstruction Image resolution Machine learning Methods Multimedia Multimedia Information Systems Neural networks Special Purpose and Application-Based Systems
Online-Zugang:	Volltext
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