Region Based Image Representation With Variable Reconstruction Quality

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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.

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