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Proceedings Paper

Image Compression By Quadtree Decomposition And Truncation
Author(s): P. Cohen; A. Mokrane
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Paper Abstract

This paper describes an image compression method based on a hierarchical segmentation scheme into polygonal homogeneous regions. Adequate homogeneity criteria are selected through statistical discriminant analysis. Once segmentation is completed, the coding process consists in formingacompact representation of region shapes together with a suitable approximation of each region's content. Two types of coding are represented: a graphics-quality coding based on zero-order approximation of region content and a television-quality coding based on moment-preserving bi-level truncation.

Paper Details

Date Published: 10 December 1986
PDF: 8 pages
Proc. SPIE 0697, Applications of Digital Image Processing IX, (10 December 1986); doi: 10.1117/12.976199
Show Author Affiliations
P. Cohen, Ecole Polytechnique de Montreal (Canada)
A. Mokrane, Ecole Polytechnique de Montreal (Canada)


Published in SPIE Proceedings Vol. 0697:
Applications of Digital Image Processing IX
Andrew G. Tescher, Editor(s)

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