DSP Implementation of Image Compression by Multiresolutional Analysis

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98_01_02.pdf(351.43 KB)
Date
1998-04
Authors
ORCID
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Referee
Mark
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Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
Wavelet algorithms allow considerably higher compression rates compared to Fourier transform based methods. The most important field of applications of wavelet transforms is that the image is captured in few wavelet coefficients. The successful applications in compression of image or in series of images in both the space and the time dimensions. Compression algorithms exploit the multi-scale nature of the wavelet transform.
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Keywords
wavelet transform, multiresolutional analysis, image compression, digital signal processing
Citation
Radioengineering. 1998, vol. 7, č. 1, s. 7-9. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/1998/98_01_02.pdf
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Peer-reviewed
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Published version
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en
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Creative Commons Attribution 3.0 Unported License
http://creativecommons.org/licenses/by/3.0/
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URI
http://hdl.handle.net/11012/58328
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1998/1
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