Title :
Dual-Tree Tight Frame Wavelets with Symmetric Envelope
Author :
Abdelnour, A. Farras
Author_Institution :
Image Anal. Art Unit, U.S. Patent & Trademark Office, Alexandria, VA
Abstract :
Wavelets based on Hilbert pairs have appealing properties when applied to image denoising and feature detection due to their directional sensitivity. In this paper we propose dual-tree 4-channel tight frame wavelets and scaling functions {phih, psih1, psih2, psih3} and {phig, psig1, psig2, psig3} based on FIR filterbanks of four filters, and downsampling by 2. Such wavelets closely approximate shift invariance, and the resulting complex wavelets lead to exactly symmetric envelope. The filters enjoy vanishing moments property.
Keywords :
FIR filters; image denoising; wavelet transforms; FIR filterbanks; Hilbert pairs; directional sensitivity; dual-tree tight frame wavelets; feature detection; image denoising; symmetric envelope; Art; Band pass filters; Continuous wavelet transforms; Finite impulse response filter; Hydrogen; Image analysis; Noise reduction; Polynomials; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530062