Color image interpolation using vector rational filters

Faouzi Alaya Cheikh*, Lazhar Khriji, Moncef Gabbouj, Giovanni Ramponi

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)


Rational filters are extended to multichannel signal processing and applied to the image interpolation problem. The proposed nonlinear interpolator exhibits desirable properties, such as, edge and details preservation. In this approach the pixels of the color image are considered as 3-component vectors in the color space. Therefore, the inherent correlation which exists between the different color components is not ignored; thus, leading to better image quality than those obtained by component-wise processing. Simulations show that the resulting edges obtained using vector rational filters (VRF) are free from blockiness and jaggedness, which are usually present in images interpolated using especially linear, but also some nonlinear techniques, e.g. vector median hybrid filters (VFMH).

Original languageEnglish
Pages (from-to)242-249
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1998
Externally publishedYes
EventNonlinear Image Processing IX - San Jose, CA, United States
Duration: Jan 26 1998Jan 27 1998


  • Color
  • Filter
  • Image
  • Interpolation
  • Multichannel
  • Nonlinear
  • Quincunx
  • R ectangular
  • Rational

ASJC Scopus subject areas

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


Dive into the research topics of 'Color image interpolation using vector rational filters'. Together they form a unique fingerprint.

Cite this