Selective sampling and optimal filtering for subpixel-based image down-sampling

Sung Ho Chae, Sung Tae Kim, Joon Yeon Kim, Cheol Hwan Yoo, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review


Subpixel-based image down-sampling has been widely used to improve the apparent resolution of down-sampled images on display. However, previous subpixel rendering methods often introduce distortions, such as aliasing and color-fringing. This study proposes a novel subpixel rendering method that uses selective sampling and optimal filtering. We first generalize the previous frequency domain analysis results indicating the relationships between various down-sampling patterns and the aliasing artifact. Based on this generalized analysis, a subpixel-based down-sampling pattern for each image is selectively determined by utilizing the edge distribution of the image. Moreover, we investigate the origin of the color-fringing artifact in the frequency domain. Optimal spatial filters that can effectively remove distortions caused by the selected down-sampling pattern are designed via frequency domain analyses of aliasing and color-fringing. The experimental results show that the proposed method is not only robust to the aliasing and color-fringing artifacts but also outperforms the existing ones in terms of information preservation.

Original languageEnglish
Article number8819919
Pages (from-to)124096-124105
Number of pages10
JournalIEEE Access
Publication statusPublished - 2019

Bibliographical note

Funding Information:
This work was supported by the Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korean Government (MSIT) (Intelligent Defense Boundary Surveillance Technology Using Collaborative Reinforced Learning of Embedded Edge Camera and Image Analysis) under Grant 2017-0-00250.

Publisher Copyright:
© 2013 IEEE.


  • Aliasing
  • Color-fringing
  • Frequency domain analysis
  • Image down-sampling
  • Optimal filtering
  • Selective sampling
  • Subpixel rendering

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering


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