Quad-tree modelling of colour image regions

R. W. McColl, G. R. Martin

Research output: Contribution to journalArticlepeer-review


A model is presented which describes and codes the regions within a segmented image by means of quad-tree analysis of each region. A simple criterion is used to determine the importance of any node in the tree as a function of its perceptual relevance. This approach is an improvement on the parametric model which is frequently applied, by preserving textures at high compression. Chromaticity quantisation involves supplying only an average in each region. The additional use of dynamic entropy coding further improves the compression without additional distortion. In this way, compression to 0.5 bits/pel is achievable for colour images.

Original languageEnglish (US)
Pages (from-to)231-238
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Oct 25 1988
Externally publishedYes

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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