文献类型： 外文期刊

作者： Feng, Deng-Chao ¹ ; Yang, Zhao-Xuan ² ; Qiao, Xiao-Jun ² ;

作者机构： 1.Tianjin Univ, Inst Elect & Informat Engn, Tianjin 300072, Peoples R China

2.Tianjin Univ, Inst Elect & Informat Engn, Tianjin 300072, Peoples R China; Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China

期刊名称：ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS （ 影响因子：0.302； ）

ISSN： 0302-9743

年卷期： 2006 年 3972 卷

页码：

收录情况： SCI

摘要： The resource of image noise is analysized in this paper. Considering the image fuzzy generated in the process of image denoising in spatial field, the image denoising method based on wavelet neural network with orthonormal bases is elaborated. The denoising principle and construction method of orthonormal wavelet network is described. In the simulation experiment, median filtering, adaptive median filtering and sym wavelet neural network with orthonormal bases were used separately in the denoising for contaminated images. The experiment shows that, compared with traditional denoising method, image denoising method based on orthonormal wavelet neural network improves greatly the image quality and decreases the image ambiguity.