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Proceedings Paper

Region Based Image Representation With Variable Reconstruction Quality
Author(s): Uwe Franke; Rudolf Mester
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Paper Abstract

Region based image representation is a very promising approach in the class of second generation image coding techniques. In this paper we describe a new approach that is based on a spectral description of the texture signals instead of polynomial approximation which has been proposed by other authors. The fundamental problems in transforming arbitrarily shaped regions due to the window effect are overcome using the algorithm of Selective Deconvolution [FRA87a]. Spectral representation of the texture signals and the used polygonal approximation of the region contours enable a hierarchical organization of the image description. Utilizing the linearity of the generated data structure our scheme combines very high data compression ratios (if the reconstruction of the most important image content is required only) with the option of image reconstruction with increasing resolution up to high quality, if detail information is transmitted.

Paper Details

Date Published: 25 October 1988
PDF: 9 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968951
Show Author Affiliations
Uwe Franke, Technical University of Aachen (Germany)
Rudolf Mester, Technical University of Aachen (Germany)


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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