Publication detail

Using Fractal Prediction in Zerotree Wavelet Coding

Stanislav Uchytil,Václav Zeman

Original Title

Using Fractal Prediction in Zerotree Wavelet Coding

English Title

Using Fractal Prediction in Zerotree Wavelet Coding

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Wavelet Coding

RIV year

2006

Released

13.09.2006

Publisher

Brno

Location

Nové Město na Moravě

Pages from

426

Pages to

431

Pages count

6

Documents

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"
}