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The New Graphic Description of the Haar Wavelet Transform

  • Piotr Porwik
  • Lisowska Agnieszka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3039)

Abstract

The image processing and analysis based on the continuous or discrete image transforms are the classic processing technique. The image transforms are widely used in image filtering, data description, etc. The image transform theory is a well known area, but in many cases some transforms have particular properties which are not still investigated. This paper for the first time presents graphic dependences between parts of Haar and wavelets images. The extraction of image features immediately from spectral coefficients distribution has been shown. In this paper it has been presented that two-dimensional both, the Haar and wavelets functions products, can be treated as extractors of particular image features.

Keywords

Discrete Cosine Transform Wavelet Transform Wavelet Decomposition Decomposition Level Wavelet Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Piotr Porwik
    • 1
  • Lisowska Agnieszka
    • 2
  1. 1.Institute of InformaticsSilesian UniversitySosnowiecPoland
  2. 2.Institute of MathematicsSilesian UniversityKatowicePoland

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