Detail publikace

Using Fractal Prediction in Zerotree Wavelet Coding

Stanislav Uchytil,Václav Zeman

Originální název

Using Fractal Prediction in Zerotree Wavelet Coding

Anglický název

Using Fractal Prediction in Zerotree Wavelet Coding

Jazyk

en

Originální abstrakt

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 zavelet coefficients and found that the prediction of entire zavelet 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 zavelet 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.

Anglický abstrakt

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 zavelet coefficients and found that the prediction of entire zavelet 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 zavelet 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.

Dokumenty

BibTex


@inproceedings{BUT21875,
  author="Stanislav {Uchytil} and Václav {Zeman}",
  title="Using Fractal Prediction in Zerotree Wavelet Coding",
  annote="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 zavelet coefficients and found that the prediction of entire zavelet 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 zavelet 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.",
  address="Brno",
  booktitle="Proceedings of Research in Telecommunication Technology 2006",
  chapter="21875",
  institution="Brno",
  year="2006",
  month="september",
  pages="426",
  publisher="Brno",
  type="conference paper"
}