Directionally selective fractional wavelet transform using a 2-d non-separable unbalanced lifting structure
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 113 | en_US |
dc.citation.spage | 102 | en_US |
dc.citation.volumeNumber | 7252 | en_US |
dc.contributor.author | Keskin, Furkan | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.coverage.spatial | Pisa, Italy | en_US |
dc.date.accessioned | 2016-02-08T12:12:44Z | |
dc.date.available | 2016-02-08T12:12:44Z | |
dc.date.issued | 2012 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: International Workshop, MUSCLE 2011 | en_US |
dc.description | December 13-15, 2011 | en_US |
dc.description.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. © 2012 Springer-Verlag. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:12:44Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2012 | en |
dc.identifier.doi | 10.1007/978-3-642-32436-9_9 | en_US |
dc.identifier.doi | 10.1007/978-3-642-32436-9 | en_US |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/11693/28159 | |
dc.language.iso | English | en_US |
dc.publisher | Springer, Berlin, Heidelberg | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/978-3-642-32436-9_9 | en_US |
dc.relation.isversionof | https://doi.org/10.1007/978-3-642-32436-9 | en_US |
dc.source.title | Computational Intelligence for Multimedia Understanding | en_US |
dc.subject | Lifting | en_US |
dc.subject | multirate signal processing | en_US |
dc.subject | wavelet transform | en_US |
dc.subject | Discrete-time signals | en_US |
dc.subject | Fractional wavelet transforms | en_US |
dc.subject | Lagrange interpolations | en_US |
dc.subject | Lifting | en_US |
dc.subject | Lifting structure | en_US |
dc.subject | Multirate signal processing | en_US |
dc.subject | Rational numbers | en_US |
dc.subject | Sampling period | en_US |
dc.subject | Subbands | en_US |
dc.subject | Subimages | en_US |
dc.subject | Two-channel | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Muscle | en_US |
dc.subject | Semantics | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Wavelet decomposition | en_US |
dc.subject | Wavelet transforms | en_US |
dc.subject | Signal sampling | en_US |
dc.title | Directionally selective fractional wavelet transform using a 2-d non-separable unbalanced lifting structure | en_US |
dc.type | Conference Paper | en_US |
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