Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters

Due to the difficulty for constructing two-dimensional wavelet filters, the commonly used wavelet filters are tensor-product of one-dimensional wavelet filters. In some applications, more perfect reconstruction filters should be provided. In this paper, we introduce a transformation which is referre...

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Main Authors: Fei Li, Jianwei Yang
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2011/272801
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author Fei Li
Jianwei Yang
author_facet Fei Li
Jianwei Yang
author_sort Fei Li
collection DOAJ
description Due to the difficulty for constructing two-dimensional wavelet filters, the commonly used wavelet filters are tensor-product of one-dimensional wavelet filters. In some applications, more perfect reconstruction filters should be provided. In this paper, we introduce a transformation which is referred to as Shift Unitary Transform (SUT) of Conjugate Quadrature Filter (CQF). In terms of this transformation, we propose a parametrization method for constructing two-dimensional orthogonal wavelet filters. It is proved that tensor-product wavelet filters are only special cases of this parametrization method. To show this, we introduce the SUT of one-dimensional CQF and present a complete parametrization of one-dimensional wavelet system. As a result, more ways are provided to randomly generate two-dimensional perfect reconstruction filters.
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institution Kabale University
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publishDate 2011-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-93837061af614d7e9583bf15505849f32025-02-03T01:33:13ZengWileyJournal of Applied Mathematics1110-757X1687-00422011-01-01201110.1155/2011/272801272801Shift Unitary Transform for Constructing Two-Dimensional Wavelet FiltersFei Li0Jianwei Yang1School of Economics, Beijing Technology and Business University, Beijing 100048, ChinaCollege of Math and Physics, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaDue to the difficulty for constructing two-dimensional wavelet filters, the commonly used wavelet filters are tensor-product of one-dimensional wavelet filters. In some applications, more perfect reconstruction filters should be provided. In this paper, we introduce a transformation which is referred to as Shift Unitary Transform (SUT) of Conjugate Quadrature Filter (CQF). In terms of this transformation, we propose a parametrization method for constructing two-dimensional orthogonal wavelet filters. It is proved that tensor-product wavelet filters are only special cases of this parametrization method. To show this, we introduce the SUT of one-dimensional CQF and present a complete parametrization of one-dimensional wavelet system. As a result, more ways are provided to randomly generate two-dimensional perfect reconstruction filters.http://dx.doi.org/10.1155/2011/272801
spellingShingle Fei Li
Jianwei Yang
Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
Journal of Applied Mathematics
title Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
title_full Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
title_fullStr Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
title_full_unstemmed Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
title_short Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
title_sort shift unitary transform for constructing two dimensional wavelet filters
url http://dx.doi.org/10.1155/2011/272801
work_keys_str_mv AT feili shiftunitarytransformforconstructingtwodimensionalwaveletfilters
AT jianweiyang shiftunitarytransformforconstructingtwodimensionalwaveletfilters