Information
- Publication Type: Technical Report
- Workgroup(s)/Project(s): not specified
- Date: November 1995
- Number: TR-186-2-95-11
- Keywords: image compression, wavelets, adaptive 2D wavelet decomposition
Abstract
2D wavelets are usually generated from 1D wavelets through
the rectangular or through the square decomposition scheme.
In this paper a new adaptive 2D decomposition scheme for
compression related applications is presented. The adaptive
2D decomposition selects 2D wavelet functions based on the
compression of the coefficients, but needs only the same
number of 1D filter operations as the rectangular
decomposition for the compression and even less for the
decompression. Results for lossless image compression have
shown improvements in the compression rate between 1% and 10%
compared to the square decomposition. Only in the case of
very small images (below 50x50) the adaptive decomposition
was outperformed by the square decomposition because of the
overhead to store the selection, which 2D wavelets should
be used.
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BibTeX
@techreport{Kopp-1995-LWB,
title = "Lossless Wavelet Based Image Compression with Adaptive 2D
Decomposition",
author = "Manfred Kopp",
year = "1995",
abstract = "2D wavelets are usually generated from 1D wavelets through
the rectangular or through the square decomposition scheme.
In this paper a new adaptive 2D decomposition scheme for
compression related applications is presented. The adaptive
2D decomposition selects 2D wavelet functions based on the
compression of the coefficients, but needs only the same
number of 1D filter operations as the rectangular
decomposition for the compression and even less for the
decompression. Results for lossless image compression have
shown improvements in the compression rate between 1% and
10% compared to the square decomposition. Only in the case
of very small images (below 50x50) the adaptive
decomposition was outperformed by the square decomposition
because of the overhead to store the selection, which 2D
wavelets should be used.",
month = nov,
number = "TR-186-2-95-11",
address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
institution = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology ",
note = "human contact: technical-report@cg.tuwien.ac.at",
keywords = "image compression, wavelets, adaptive 2D wavelet
decomposition",
URL = "https://www.cg.tuwien.ac.at/research/publications/1995/Kopp-1995-LWB/",
}