Texture Description Using Dual Tree Complex Wavelet Packets

  • M. Liedlgruber
  • M. Häfner
  • J. Hämmerle-Uhl
  • A. UhlEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9916)


In this work we extend several DWT-based wavelet and wavelet packet feature extraction methods to use the dual-tree complex wavelet transform. This way we aim at alleviating shortcomings of the different algorithms which stem from the use of the underlying DWT. We show that, while some methods benefit significantly from extending them to be based in the dual-tree complex wavelet transform domain (and also provide the best overall results), for other methods there is almost no impact of this extension.


Feature Vector Discrete Wavelet Transform Filter Bank Wavelet Packet Feature Extraction 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.



This work has been supported by the Austrian Science Fund (FWF) under Project No. TRP-206.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • M. Liedlgruber
    • 1
  • M. Häfner
    • 2
  • J. Hämmerle-Uhl
    • 1
  • A. Uhl
    • 1
    Email author
  1. 1.Visual Computing and Security Lab (VISEL), Department of Computer SciencesUniversity of SalzburgSalzburgAustria
  2. 2.Department for Internal MedicineSt. Elisabeth HospitalViennaAustria

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