Title :
Phase-Shifting for Nonseparable 2-D Haar Wavelets
Author :
Alnasser, Mais ; Foroosh, Hassan
Author_Institution :
Dept. of Comput. Sci., Univ. of Central Florida, Orlando, FL
fDate :
7/1/2008 12:00:00 AM
Abstract :
In this paper, we present a novel and efficient solution to phase-shifting 2-D nonseparable Haar wavelet coefficients. While other methods either modify existing wavelets or introduce new ones to handle the lack of shift-invariance, we derive the explicit relationships between the coefficients of the shifted signal and those of the unshifted one. We then establish their computational complexity, and compare and demonstrate the superior performance of the proposed approach against classical interpolation tools in terms of accumulation of errors under successive shifting.
Keywords :
Haar transforms; image processing; wavelet transforms; image processing; nonseparable 2D Haar wavelet phase shifting; shift invariance; 2-D Haar transform; Nonseparable; phase-shifting; wavelets; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2008.919950