Hybrid fractal zerotree wavelet image coding

Taekon Kim, Robert E. Van Dyck, David Jonathan Miller

    Research output: Contribution to journalArticlepeer-review

    18 Scopus citations

    Abstract

    In this paper, a hybrid fractal zerotree wavelet (FZW) image coding algorithm is proposed. The algorithm couples a zerotree-based encoder, such as the embedded zerotree wavelet (EZW) coder or set partitioning in hierarchical trees, and a fractal image coder; this coupling is done in the wavelet domain. Based on perceptually-weighted distortion-rate calculations, a fractal method is adaptively applied to the parts of an image that can be encoded more efficiently relative to an EZW coder at a given rate. In addition to improving compression performance, the proposed algorithm also allows one to impose desirable properties from each type of image coder, such as progressive transmission, the zerotree structure, and range-domain block decoding.

    Original languageEnglish (US)
    Pages (from-to)347-360
    Number of pages14
    JournalSignal Processing: Image Communication
    Volume17
    Issue number4
    DOIs
    StatePublished - Apr 1 2002

    All Science Journal Classification (ASJC) codes

    • Software
    • Signal Processing
    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Hybrid fractal zerotree wavelet image coding'. Together they form a unique fingerprint.

    Cite this