Decomposition strategies for wavelet-based image coding
نویسنده
چکیده
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 wavelet–transformed with different settings of the wavelet filter bank, quantization threshold and decomposition method. Contrary to the new standard JPEG–2000, where non– standard decomposition is implemented, our investigation proposes standard decomposition for low–bitrate coding.
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