Multi-scale cross-fusion for arbitrary scale image super resolution

Deep convolutional neural networks (CNNs) have great improvements for single image super resolution (SISR). However, most of the existing SISR pre-training models can only reconstruct low-resolution (LR) images in a single image, and their upsamling factors cannot be non-integers, which limits their...

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Veröffentlicht in:	Multimedia tools and applications 2024-03, Vol.83 (33), p.79805-79814
Hauptverfasser:	Li, Guangping, Xiao, Huanling, Liang, Dingkai, Ling, Bingo Wing-Kuen
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Communication Networks Computer Science Data Structures and Information Theory Feature maps Image resolution Interactive learning Modules Multimedia Multimedia Information Systems Multisensor fusion Neural networks Spatial data Special Purpose and Application-Based Systems Track 6: Computer Vision for Multimedia Applications
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