A Dyadic Wavelet Filtering Method for 2-D Image Denoising

Yonggui Zhu, Xiaolan Yang

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DOI: 10.4236/jsip.2011.24044                

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.

Keywords

Dyadic Wavelet Transform, Image Edges, Denoisin

Conflicts of Interest

The authors declare no conflicts of interest.

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