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
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;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414309