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Proceedings Paper

Image Data Compression By Contour Texture Modelling
Author(s): Michel Kocher; Murat Kunt
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Paper Abstract

An image coding technique, based on a simplified description of regions composing the image, is presented. Each region of the image is made of the maximum number of adjacent picture elements (pels) whose grey level evolution contains no sharp discontinuities. The pels within the regions provide the texture information whereas the region boundary points represent the contour information. Image coding is carried out by approximating the contour information and the texture information in each region. This is done by using different global analytical functions for each component. This adaptive image coding scheme leads to compression ratios greater than 50 to 1.1

Paper Details

Date Published: 26 October 1983
PDF: 8 pages
Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); doi: 10.1117/12.935290
Show Author Affiliations
Michel Kocher, Swiss Federal Institute of Technology (Switzerland)
Murat Kunt, Swiss Federal Institute of Technology (Switzerland)

Published in SPIE Proceedings Vol. 0397:
Applications of Digital Image Processing V
Andre J. Oosterlinck; Andrew G. Tescher, Editor(s)

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