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Proceedings Paper

Adaptive Split-and-Merge for Image Analysis and Coding
Author(s): R. Leonardi; M. Kunt
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Paper Abstract

An approximation algorithm for two-dimensional (2-D) signals, e.g. images, is presented. This approximation is obtained by partitioning the original signal into adjacent regions with each region being approximated in the least square sense by a 2-D analytical function. The segmentation procedure is controlled iteratively to insure at each step the best possible quality between the original image and the segmented one. The segmentation is based on two successive steps: splitting the original picture into adjacent squares of different size, then merging them in an optimal way into the final region configuration. Some results are presented when the approximation is performed by polynomial functions.

Paper Details

Date Published: 1 May 1986
PDF: 8 pages
Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952190
Show Author Affiliations
R. Leonardi, Swiss Federal Institute of Technology (Switzerland)
M. Kunt, Swiss Federal Institute of Technology (Switzerland)

Published in SPIE Proceedings Vol. 0594:
Image Coding
Thomas S. Huang; Murat Kunt, Editor(s)

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