Wavelets: Applications to image compression-I

Digital imaging has had an enormous impact on scientific and industrial applications. Uncompressed images require considerable storage capacity and transmission bandwidth. The solution to this problem is to compress an image for desired application. Wavelet transform has recently emerged as the tool...

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Veröffentlicht in:Resonance 2005-02, Vol.10 (2), p.52-61
Hauptverfasser: Nanavati, Sachin P., Panigrahi, Prasanta K.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
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Zusammenfassung:Digital imaging has had an enormous impact on scientific and industrial applications. Uncompressed images require considerable storage capacity and transmission bandwidth. The solution to this problem is to compress an image for desired application. Wavelet transform has recently emerged as the tool of choice for image compression. In this article, we discuss the basic principles underlying compression of images and point out the advantages of wavelet transform over the previously used discrete cosine transform.
ISSN:0971-8044
0973-712X
DOI:10.1007/BF02835922