Directionally selective fractional wavelet transform using a 2-d non-separable unbalanced lifting structure

Date
2012
Advisor
Instructor
Source Title
Computational Intelligence for Multimedia Understanding
Print ISSN
0302-9743
Electronic ISSN
Publisher
Springer, Berlin, Heidelberg
Volume
7252
Issue
Pages
102 - 113
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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.

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Book Title
Keywords
Lifting, multirate signal processing, wavelet transform, Discrete-time signals, Fractional wavelet transforms, Lagrange interpolations, Lifting, Lifting structure, Multirate signal processing, Rational numbers, Sampling period, Subbands, Subimages, Two-channel, Artificial intelligence, Muscle, Semantics, Signal processing, Wavelet decomposition, Wavelet transforms, Signal sampling
Citation