An Application of Second Generation Wavelets for
Image Denoising using Dual Tree Complex Wavelet
Transform
ACEEE International Journal of Signal and Image Processing, 4 (3):
9 (September 2013)Abstract
The lifting scheme of the discrete wavelet transform
(DWT) is now quite well established as an efficient technique
for image denoising. The lifting scheme factorization of
biorthogonal filter banks is carried out with a linear-adaptive,
delay free and faster decomposition arithmetic. This adaptive
factorization is aimed to achieve a well transparent, more
generalized, complexity free fast decomposition process in
addition to preserve the features that an ordinary wavelet
decomposition process offers. This work is targeted to get
considerable reduction in computational complexity and power
required for decomposition. The hard striking demerits of
DWT structure viz., shift sensitivity and poor directionality
had already been proven to be washed out with an emergence
of dual tree complex wavelet (DT-CWT) structure. The well
versed features of DT-CWT and robust lifting scheme are
suitably combined to achieve an image denoising with prolific
rise in computational speed and directionality, also with a
desirable drop in computation time, power and complexity of
algorithm compared to all other techniques.