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Decomposition strategies for wavelet-based image coding

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1 Author(s)
C. Schremmer ; Praktische Informatik IV, Mannheim Univ., Germany

The wavelet transform has become the most interesting new algorithm for still image compression. Yet there are many parameters within a wavelet analysis and synthesis which govern the quality of a decoded image. In this paper, we discuss different decomposition strategies of a two-dimensional signal and their implications for the decoded image: a pool of gray-scale images has been wave let-transformed with different settings of the wavelet filter bank, quantization threshold and decomposition method. Contrary to the new standard JPEG-2000, where nonstandard decomposition is implemented, our investigation proposes standard decomposition for low-bitrate coding

Published in:

Signal Processing and its Applications, Sixth International, Symposium on. 2001  (Volume:2 )

Date of Conference:

2001