DocumentCode
3492027
Title
A filter design technique for improving the directional selectivity of the first scale of the Dual-Tree complex wavelet transform
Author
Goossens, Bart ; Urica, Aleksandra Pi ; Philips, Wilfried
Author_Institution
TELIN - IPI - IBBT, Ghent Univ., Ghent, Belgium
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
3805
Lastpage
3808
Abstract
The dual-tree complex wavelet transform (DT-CWT) uses approximate Hilbert transform pairs of wavelet, which requires that the filters of each tree of the dual-tree structure should be delayed approximately one half sample from each other. However, the filters of the first (finest) scale of the transform do not obey this condition, resulting in a poor directional selectivity for the first scale. In this paper, we describe a design technique for first-scale infinite impulse response (IIR) wavelet filters, that solves this problem. Results demonstrate that a much better directional selectivity is obtained, which indicates a performance improvement for many applications that use the DT-CWT where the preservation of high-frequency information is important.
Keywords
Hilbert transforms; IIR filters; trees (mathematics); wavelet transforms; Hilbert transform; directional selectivity; dual tree complex wavelet transform; filter design technique; high frequency information; infinite impulse response wavelet filter; Design methodology; Discrete wavelet transforms; Frequency; IIR filters; Image reconstruction; Propagation delay; Watermarking; Wavelet analysis; Wavelet transforms; Dual-Tree Complex Wavelet Transform; directional selectivity; wavelets;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414309
Filename
5414309
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