language-icon Old Web
English
Sign In

Lifting scheme

The lifting scheme is a technique for both designing wavelets and performing the discrete wavelet transform (DWT).In an implementation, it is often worthwhile to merge these steps and design the wavelet filters while performing the wavelet transform.This is then called the second-generation wavelet transform.The technique was introduced by Wim Sweldens. The lifting scheme is a technique for both designing wavelets and performing the discrete wavelet transform (DWT).In an implementation, it is often worthwhile to merge these steps and design the wavelet filters while performing the wavelet transform.This is then called the second-generation wavelet transform.The technique was introduced by Wim Sweldens. The lifting scheme factorizes any discrete wavelet transform with finite filters into a series of elementary convolution operators, so-called lifting steps, which reduces the number of arithmetic operations by nearly a factor two. Treatment of signal boundaries is also simplified. The discrete wavelet transform applies several filters separately to the same signal.In contrast to that, for the lifting scheme, the signal is divided like a zipper.Then a series of convolution-accumulate operations across the divided signals is applied. The simplest version of a forward wavelet transform expressed in the lifting scheme is shown in the figure above. P {displaystyle P} means predict step, which will be considered in isolation. The predict step calculates the wavelet function in the wavelet transform. This is a high-pass filter. The update step calculates the scaling function, which results in a smoother version of the data. As mentioned above, the lifting scheme is an alternative technique for performing the DWT using biorthogonal wavelets. In order to perform the DWT using the lifting scheme, the corresponding lifting and scaling steps must be derived from the biorthogonal wavelets. The analysis filters ( g , h {displaystyle g,h} ) of the particular wavelet are first written in polyphase matrix where det P ( z ) = z − m {displaystyle det P(z)=z^{-m}} .

[ "Discrete wavelet transform", "Wavelet packet decomposition" ]
Parent Topic
Child Topic
    No Parent Topic