Compression of Colour Image Data Using Histogram Analysis and Clustering Techniques

R. W. McColl, G. R. Martin

Research output: Contribution to journalArticlepeer-review


Digitised colour images quantised at 24 bits per pel represent a considerable storage requirement. For many applications a coarser quantisation is allowable or even necessary. This paper describes three variations on a method to quantise RGB data at approximately 4 bits per pel. The main criterion in the scheme is that of a minimum perceptual distortion in the reproduced data. The MacAdam chromaticity domain is used as a perceptually metric space in which equal Euclidean distances may be assumed to represent equally perceived colour differences. Histogram and cluster analysis methods are used to quantise the RGB data at 4 bits luminance and 0-75 bits chromaticity. The results appear acceptably close to the originals.

Original languageEnglish (US)
Pages (from-to)93-100
Number of pages8
JournalElectronics and Communication Engineering Journal
Issue number2
StatePublished - 1989
Externally publishedYes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Compression of Colour Image Data Using Histogram Analysis and Clustering Techniques'. Together they form a unique fingerprint.

Cite this