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Proceedings Paper

Quad-Tree Modelling Of Colour Image Regions
Author(s): R. W. McColl; G. R. Martin
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Paper Abstract

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.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968957
Show Author Affiliations
R. W. McColl, University of Warwick (United Kingdom)
G. R. Martin, University of Warwick (United Kingdom)

Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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