Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations

Single Image Super-Resolution (SISR) aims to generate a high-resolution (HR) image of a given low-resolution (LR) image. The most of existing convolutional neural network (CNN) based SISR methods usually take an assumption that a LR image is only bicubicly down-sampled version of an HR image. Howeve...

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Veröffentlicht in:	arXiv.org 2019-09
Hauptverfasser:	Rao, Muhammad Umer, esti, Gian Luca, Micheloni, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science - Computer Vision and Pattern Recognition Ill posed problems Image degradation Image resolution Inverse problems Noise levels Resolvers
Online-Zugang:	Volltext
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