DocumentCode :
2988914
Title :
Translation invariant complex discrete wavelet transforms
Author :
Zhang, Zhong ; Toda, Hiroshi
Author_Institution :
Toyohashi Univ. of Technol., Toyohashi
Volume :
2
fYear :
2008
fDate :
30-31 Aug. 2008
Firstpage :
699
Lastpage :
704
Abstract :
The CDWT was first proposed by Kingsbury as a tool for motion estimation in 1998. It was effective at solving the problem of poor translation invariance in the traditional DWT and has been applied in various fields. Thus, its practical use occurred early on, and its rationality was not theoretically interpreted. We have constructed an important base theory of the CDWT, and established a novel design methodology of the complex wavelet based on an arbitrary orthogonal wavelet and a new computation method based on the coherent parallel-tree algorithm of the CDWT. Based on these works, this paper shows new research results and future work.
Keywords :
discrete wavelet transforms; edge detection; motion estimation; trees (mathematics); arbitrary orthogonal wavelet; coherent parallel-tree algorithm; complex discrete wavelet transform; edge detection; motion estimation; translation invariance; Delay; Design methodology; Discrete wavelet transforms; Filter bank; Image analysis; Matching pursuit algorithms; Multiresolution analysis; Shape; Signal analysis; Wavelet analysis; Complex wavelet; Hilbert transform pair; Interpolation; Orthogonal wavelet; Translation invariance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-2238-8
Electronic_ISBN :
978-1-4244-2239-5
Type :
conf
DOI :
10.1109/ICWAPR.2008.4635869
Filename :
4635869
Link To Document :
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