DocumentCode :
1694701
Title :
Image enhancement using multiscale oriented wavelets
Author :
Yu-Ping Wang ; Wu, Qiang ; Castleman, Ken ; Xiong, Zixiang
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
1
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
610
Abstract :
We describe a novel method of enhancing image geometric features using the oriented wavelets introduced in our earlier work (see Yu-Ping Wang, IEEE Trans. Image Proc., vol.8, no.12, p.1757-71, 1999). The poor directional selectivity of the conventional 2D wavelet transform has been circumvented by using this class of oriented wavelets. By taking advantage of directional wavelet decomposition, both the directional and scale correlation information are utilized for enhancing salient structures in images. To remove phase dependence, a pair of quadrature filters are used. The proposed algorithm has been applied to chromosome image enhancement. Comparisons of this algorithm with other approaches are presented
Keywords :
cellular biophysics; channel bank filters; feature extraction; image enhancement; wavelet transforms; 2D wavelet transform; chromosome image enhancement; directional wavelet decomposition; fast filter bank; feature extraction; geometric features; multiscale oriented wavelets; quadrature filters; Cities and towns; Digital images; Filter bank; Image analysis; Image edge detection; Image enhancement; Laplace equations; Spline; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.959119
Filename :
959119
Link To Document :
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