Van, R.
, Kim, T.
and Miller, D.
(2001),
Hybrid Fractal Zerotree Wavelet Image Coding, Signal Processing, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=151093
(Accessed October 31, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Hybrid Fractal Zerotree Wavelet Image Coding
Published
Author(s)
, T Kim, D J. Miller
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.Citation
Signal Processing
Volume
17
Pub Type
Journals
Download Paper
Keywords
fractal coding, image compression, wavelet encoding, zerotree based encoding
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created December 1, 2001, Updated February 19, 2017