Hybrid fractal zerotree wavelet image coding

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 doma...

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Bibliographic Details
Published in:Signal processing. Image communication 2002-04, Vol.17 (4), p.347-360
Main Authors: Kim, Taekon, Van Dyck, Robert E., Miller, David J.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Hybrid fractal coding
Image compression
Image processing
Information, signal and communications theory
Pattern recognition. Digital image processing. Computational geometry
Perceptual image quality
Signal processing
Telecommunications and information theory
Wavelets
Zerotree
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Summary: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.
ISSN:0923-5965
1879-2677
DOI:10.1016/S0923-5965(02)00003-6