Kernel-based image upscaling method with shooting artifact reduction

Chul Hee Park, Joonyoung Chang, Moon Gi Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper describes the interpolation algorithm which contains shooting or ringing artifact suppression based on windowed sinc interpolator. In general, the windowed sinc interpolator can achieve better performance by using wider window. However, using wide window causes more ripples that produce unwanted defects such as ringing or shooting artifact. Therefore, shooting reduction technique is proposed in this paper for using wider windows to improve the performance without shooting artifact. The proposed algorithm can suppress shooting artifact by using median sinc interpolator and it can be also used as a post processor for many kernel-based interpolation methods. The resulted image shows that the proposed algorithm can maintain local details and suppress shooting artifact in the image well.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationAlgorithms and Systems XI
Publication statusPublished - 2013
EventImage Processing: Algorithms and Systems XI - Burlingame, CA, United States
Duration: 2013 Feb 42013 Feb 6

Publication series

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


OtherImage Processing: Algorithms and Systems XI
Country/TerritoryUnited States
CityBurlingame, CA

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'Kernel-based image upscaling method with shooting artifact reduction'. Together they form a unique fingerprint.

Cite this