Lightweight Network for Single Image Super-Resolution with Arbitrary Scale Factor †

Quang Truong Duy Dang, Kuan Yu Huang, Pei Yin Chen

研究成果: Article同行評審

摘要

The existing single image super-resolution (SISR) methods that consider integer scale factors (X2, X3, X4, and X8), have been developed well, but SISR methods with arbitrary scale factors (X1.3, X2.5, and X3.7) have gradually gained attention recently. Therefore, we proposed an efficient, lightweight model. In this study, there are two contributions as follows. (1) An efficient and lightweight network for SISR is combined with the up-scaled module, which determines its weights based on the size of the high-resolution (HR) image. (2) All scale factors are applied simultaneously using one model, which saves more storage and computational resources. Finally, we design various experiments to evaluate the proposed method based on multiple general datasets. The experimental results show that the proposed model is lightweight while the performance is relatively competitive.

原文English
文章編號15
期刊Engineering Proceedings
55
發行號1
DOIs
出版狀態Published - 2023

All Science Journal Classification (ASJC) codes

  • 生物醫學工程
  • 機械工業
  • 工業與製造工程
  • 電氣與電子工程

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