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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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Published in: | Signal processing. Image communication 2002-04, Vol.17 (4), p.347-360 |
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container_issue | 4 |
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container_title | Signal processing. Image communication |
container_volume | 17 |
creator | Kim, Taekon Van Dyck, Robert E. Miller, David J. |
description | 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. |
doi_str_mv | 10.1016/S0923-5965(02)00003-6 |
format | article |
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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 |
title | Hybrid fractal zerotree wavelet image coding |
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