Wavelet-based diffusion approaches for signal denoising
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发布时间：2025-04-30
发布时间：2025-04-30
论文名称：Wavelet-based diffusion approaches for signal denoising
发表刊物：Signal Processing
摘要：The efficiency of nonlinear diffusion filters is related to diffusivity. In the previous models, diffusivity depended on the derivatives of a signal, and hence it is easily affected by noise. Tnis paper considers the nonlinear wavelet-based diffusion methods for signal denoising in which the diffusivity is expressed by the wavelet transfers of received signal at several scales. Duo to the multisolution of wavelet transform, the prosed diffusivity with wavelet transforms efficiently reduces the influence of noise on the estimate of diffusion amount and improves nonlinear diffusion filters. Some numerical experimental results compared with the previous models are shown.
合写作者：Feng Liu, Xiaoe Ruan
卷号：vol.87, no. 5
页面范围：1138-1146
是否译文：否
发表时间：2007-05-14