Spatial-Frequency Fusion for Arbitrary-Scale Ultra-High-Definition Image Super-Resolution

Cuixin Yang, Jun Xiao, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Ultra-high-definition (UHD) image super-resolution (SR) has attracted increasing attention due to the popularity of modern devices, such as smartphones, which support the capture of UHD images, e.g. 4K and 8K images. However, existing UHD SR methods process the image in the spatial domain only. This limitation hinders their ability to effectively utilize the rich details and fine-grained textures in local areas of UHD images. To address this issue, our proposed method comprehensively exploits the global and local features of UHD images by combining spatial and frequency features. Additionally, previous UHD image SR methods can only handle a fixed scaling factor, but real-world applications very often require upscaling low-resolution images with different scales. Therefore, we employ an arbitrary-scale strategy in the SR training process, enabling super-resolution of UHD images at any scale with a single trained model. Experimental results demonstrate the effectiveness and superiority of our proposed method.

Original languageEnglish
Title of host publicationInternational Workshop on Advanced Imaging Technology, IWAIT 2024
EditorsMasayuki Nakajima, Phooi Yee Lau, Jae-Gon Kim, Hiroyuki Kubo, Chuan-Yu Chang, Qian Kemao
ISBN (Electronic)9781510679924
Publication statusPublished - Jan 2024
Event2024 International Workshop on Advanced Imaging Technology, IWAIT 2024 - Langkawi, Malaysia
Duration: 7 Jan 20248 Jan 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Conference2024 International Workshop on Advanced Imaging Technology, IWAIT 2024


  • arbitrary-scale
  • frequency domain
  • Super-resolution
  • ultra-high-definition

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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