Embedded wavelet coding of arbitrarily shaped objects

Alfred Mertins; Sudhir Singh

doi:10.1117/12.386653

30 May 2000 Embedded wavelet coding of arbitrarily shaped objects

Alfred Mertins, Sudhir Singh

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386653
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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.

Citation Download Citation

Alfred Mertins and Sudhir Singh "Embedded wavelet coding of arbitrarily shaped objects", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386653

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