COMPRESSION

Using Hough transform for context-based image compression in hybrid raster/vector applications

[+] Author Affiliations
Pasi Fra¨nti, Eugene Ageenko

University of Joensuu, Department of Computer Science, P.O. Box 111, FIN-80101 Joensuu, Finland E-mail: franti@cs.joensuu.fi

Saku Kukkonen, Heikki Ka¨lvia¨inen

Lappeenranta University of Technology, Department of Information Technology, P.O. Box 20, FIN-53851 Lappeenranta, Finland

J. Electron. Imaging. 11(2), 236-245 (Apr 01, 2002). doi:10.1117/1.1455014
History: Received Feb. 14, 2000; Revised July 9, 2001; Accepted Nov. 20, 2001; Online April 12, 2002
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In a hybrid raster/vector system, two representations of the image are stored. Digitized raster image preserves the original drawing in its exact visual form, whereas additional vector data can be used for resolution-independent reproduction, image editing, analysis, and indexing operations. We introduce two techniques for utilizing the vector features in context-based compression of the raster image. In both techniques, Hough transform is used for extracting the line features from the raster image. The first technique uses a feature-based filter for removing noise near the borders of the extracted line elements. This improves the image quality and results in more compressible raster image. The second technique utilizes the line features to improve the prediction accuracy in the context modeling. In both cases, we achieve better compression performance. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Pasi Fra¨nti ; Eugene Ageenko ; Saku Kukkonen and Heikki Ka¨lvia¨inen
"Using Hough transform for context-based image compression in hybrid raster/vector applications", J. Electron. Imaging. 11(2), 236-245 (Apr 01, 2002). ; http://dx.doi.org/10.1117/1.1455014


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