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Directionally Selective Fractional Wavelet Transform Using a 2-D Non-separable Unbalanced Lifting Structure

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7252))

Abstract

In this paper, we extend the recently introduced concept of fractional wavelet transform to obtain directional subbands of an image. Fractional wavelet decomposition is based on two-channel unbalanced lifting structures whereby it is possible to decompose a given discrete-time signal x[n] sampled with period T into two sub-signals x 1[n] and x 2[n] whose average sampling periods are pT and qT, respectively. Fractions p and q are rational numbers satisfying the condition: 1/p + 1/q = 1. Filters used in the lifting structure are designed using the Lagrange interpolation formula. 2-d separable and non-separable extensions of the proposed fractional wavelet transform are developed. Using a non-separable unbalanced lifting structure, directional subimages for five different directions are obtained.

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© 2012 Springer-Verlag Berlin Heidelberg

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Keskin, F., Çetin, A.E. (2012). Directionally Selective Fractional Wavelet Transform Using a 2-D Non-separable Unbalanced Lifting Structure. In: Salerno, E., Çetin, A.E., Salvetti, O. (eds) Computational Intelligence for Multimedia Understanding. MUSCLE 2011. Lecture Notes in Computer Science, vol 7252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32436-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-32436-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32435-2

  • Online ISBN: 978-3-642-32436-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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