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Publication Detail
A local wavelet transform implementation versus an optimal row-column algorithm for the 2D multilevel decomposition
  • Publication Type:
  • Authors:
    Andreopoulos Y, Zervas ND, Lafruit G, Schelkens P, Stouraitis T, Goutis CE, Cornelis J
  • Publisher:
    IEEE Computer Society
  • Publication date:
  • Place of publication:
    Piscataway, US
  • Pagination:
    330, 333
  • Published proceedings:
    Proceedings: 2001 International Conference on Image Processing, ICIP: 7-10 October, 2001, Makadonia Palace Hotel, Thessaloniki, Greece
  • Volume:
  • ISBN-10:
  • Status:
  • Language:
  • Keywords:
    C language, computer architecture, convolution, data compression, image coding, multimedia computing, tree data structures, wavelet transforms
A new method for the implementation of the binary-tree decomposition of the convolution-based wavelet transform, called the local wavelet transform (LWT) has been recently proposed in the literature. While it produces exactly the same results as the classical row-column implementation of the transform, it has many implementation benefits. This fact is shown experimentally for the first time for a general-purpose processor-based architecture, by comparing our C implementation of the LWT with an optimal C implementation of the lifting-scheme row-column algorithm. The comparisons are made for the forward multilevel binary-tree decomposition using the 9/7 filter pair, in the typical Intel Pentium processor family.
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