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| Adaptive Denoising via Lifting Scheme |
| Wu Yong-hong; Pan Quan; Zhang Hong-cai; Zhang Shao-wu |
| School of Automation, Northwest Polytechnical University; Xi’an 710072; China |
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Abstract 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.
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Received: 23 February 2004
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2005, Vol. 27 
