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Proceedings Paper

Embedded wavelet coding of arbitrarily shaped objects
Author(s): Alfred Mertins; Sudhir Singh
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Paper Abstract

This paper presents an embedded zerotree wavelet coding technique for the compression of arbitrarily shaped 2D objects. The wavelet decomposition is carried out with an optimized, biorthogonal, shape adaptive discrete wavelet transform (SA DWT) which performs non-expansive multiresolution decompositions of arbitrary image regions. The proposed SA DWT is defined for even-length, symmetric wavelet filters such as the 6-10 filters. The processing at region boundaries is carried out via reflection, followed by an optimization stage which requires only a few operations per boundary pixel. The computationally inexpensive optimization results in an additional performance gain of up to 0.5 dB compared to the plain reflection based scheme.

Paper Details

Date Published: 30 May 2000
PDF: 11 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386653
Show Author Affiliations
Alfred Mertins, Univ. of Wollongong (Australia)
Sudhir Singh, Univ. of Wollongong (Australia)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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