An Adaptive Denoising Algorithm Based on Dyadic Wavelet Transforms
Pinyi Ren · Gongcheng shuxue xuebao · 2009
A new class of thresholding functions is proposed.The energy conservation of the dyadic wavelet transform is proved.An adaptive denoising scheme based on the dyadic wavelet transform is introduced,which searches for the optimal threshold of each wavelet subband by minimizing a Stein unbiased risk estimation.Numerical experiments demonstrate that the proposed approach outperforms the classical wavelet-based denoising techniques.