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International Conference on Wavelet Analysis and Its Applications

WAA 2001: Wavelet Analysis and Its Applications pp 22–36Cite as

A Study on Preconditioning Multiwavelet Systems for Image Compression

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2251))

Abstract

We present a study on applications of multiwavelet analysis to image compression, where filter coefficents form matrices. As a multiwavelet filter bank has multiple channels of inputs, we investigate the data initialization problem by considering prefilters and postfilters that may give more efficient representations of the decomposed data. The interpolation postfilter andp refilter are formulated, which are capable to provide a better approximate image at each coarser resolution level. A design process is given to obtain both filters having compact supports, if exist. Image compression performances of some multiwavelet systems are studied in comparison to those of single wavelet systems.

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Author information

Authors and Affiliations

  1. Dept. of Electrical Engineering, University of Pittsburgh, 15261, Pittsburgh, PA, USA

    Wonkoo Kim & Ching-Chung Li

Authors
  1. Wonkoo Kim
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  2. Ching-Chung Li
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Yuan Y. Tang , Pong C. Yuen  & Chun-hung Li ,  & 

  2. Department of Mathematics, Washington University, Cupples I, Campus Box 1146, 63130, St. Louis, Missouri, USA

    Victor Wickerhauser

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© 2001 Springer-Verlag Berlin Heidelberg

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Kim, W., Li, CC. (2001). A Study on Preconditioning Multiwavelet Systems for Image Compression. In: Tang, Y.Y., Yuen, P.C., Li, Ch., Wickerhauser, V. (eds) Wavelet Analysis and Its Applications. WAA 2001. Lecture Notes in Computer Science, vol 2251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45333-4_6

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  • DOI: https://doi.org/10.1007/3-540-45333-4_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43034-6

  • Online ISBN: 978-3-540-45333-8

  • eBook Packages: Springer Book Archive

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