Abstract

Notice of Violation of IEEE Publication Principles<br><br>"Zerotree Wavelet Coding Using Fractal Prediction"<br>by Huang Yi,<br>in Proceedings of the 1998 International Conference on Communication Technology (ICCT'98), vol 1.<br><br>After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.<br><br> This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.<br><br>Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:<br><br>"Zerotree Wavelet Coding Using Fractal Prediction"<br>by Kai Uwe Barthel, Sven Brandau, Wolfgang Hermesmeier, and Guido Heising,<br>in Proceedings of the 1st International Conference on Image Processing, 1997, vol 2, pp 314-317.<br><br> <br/> Fractal image coding can be seen as spectral prediction of coefficients in the wavelet decomposition of an image. Fine scale coefficients are described by shifted and scaled coefficients from the next coarser frequency scale. We analyzed the ability of fractal coders to predict wavelet coefficients and found that the prediction of entire wavelet subtrees-as done by conventional spatial domain fractal coders-leads to poor coding results. This paper discusses how to design an improved fractal coder in the wavelet domain and proposes a new hybrid fractal-wavelet zerotree coding scheme. Although the coding results of the new coder outperform conventional fractal coders, they are unfortunately inferior compared with a pure wavelet version of this zerotree coder.

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