Robust super-resolution based on pixel-level selectivity

Zoran A. Ivanovski, Ljupcho Panovski, Lina Karam

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

13 Scopus citations


In this paper, a new technique for robust super-resolution (SR) from compressed video is presented. The proposed method exploits the differences between low-resolution images at the pixel level, in order to determine the usability of every pixel in the low-resolution images for SR enhancement. Only the pixels, from the lowresolution images, that are determined to be usable, are included in the L 2-norm minimization procedure. Three different usability criterions are proposed, maximum distance from the median - MDM, maximum distance from initial image - MDIM, and maximum distance from the SR estimate - MDSRE. The results obtained with real video sequences demonstrate superior quality of the resulting enhanced image in the presence of outliers and same quality without outliers when compared to existing L 2-norm minimization techniques. At the same time, the proposed scheme produces sharper images as compared to L 1-norm minimization techniques.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2006
EventVisual Communications and Image Processing 2006 - San Jose, CA, United States
Duration: Jan 17 2006Jan 19 2006

Publication series

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


OtherVisual Communications and Image Processing 2006
Country/TerritoryUnited States
CitySan Jose, CA


  • Compressed video
  • Compression artifacts
  • Motion estimation
  • Super-resolution
  • Video enhancement

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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