Adaptive Denoising via Lifting Scheme
基于提升框架的一种自适应滤波方法研究

The Haar and CDF(2,2) wavelet transforms can be implemented by the lifting scheme. They are combined with Haar-without-update wavelet and then an adaptive wavelet transform is constructed. It can adaptively match the wavelet to a given signal. The simulation results show that the adaptive wavelet transform has advantages of both Haar and CDF(2,2) wavelets and performs well for the smooth and edge-dominated regions. Therefore it should have wider applications.