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M. Nasri and H. Nezamabadi-pour, “Image Denoising in the Wavelet Domain Using a New Adaptive Thresholding Function,” Neurocomputing, Vol. 72, No. 4-6, 2009, pp. 1012-1025. doi:10.1016/j.neucom.2008.04.016

has been cited by the following article:

• TITLE: A Dyadic Wavelet Filtering Method for 2-D Image Denoising

  AUTHORS: Yonggui Zhu, Xiaolan Yang

  KEYWORDS: Dyadic Wavelet Transform, Image Edges, Denoisin

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.4, November 16, 2011

  ABSTRACT: We improve spatially selective noise filtration technique proposed by Xu et al. and wavelet transform scale filtering approach developed by Zheng et al. A novel dyadic wavelet transform filtering method for image denoising is proposed. This denoising approach can reduce noise to a high degree while preserving most of the edge features of images. Different types of images are employed to test in the numerical experiments. The experimental results show that our filtering method can reduce more noise contents while maintaining more edges than hard-threshold, soft-threshold filters, Xu’s method and Zheng’s method.