Abstract
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.
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Acknowledgments
This work has been supported by the Austrian Science Fund (FWF) under Project No. TRP-206.
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Liedlgruber, M., Häfner, M., Hämmerle-Uhl, J., Uhl, A. (2016). Texture Description Using Dual Tree Complex Wavelet Packets. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9916. Springer, Cham. https://doi.org/10.1007/978-3-319-48890-5_18
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DOI: https://doi.org/10.1007/978-3-319-48890-5_18
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