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  1. (1. 西安电子科技大学 理学院, 陕西 西安 710071;
    2. 西安邮电学院, 陕西 西安 710061;
    3. 西安政治学院, 陕西 西安 710068)

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2004-08-20 发布日期:2004-08-20

Comparison and improvements of several methods on wavelet image denoising

LIN Zhen-xian1,2;SONG Guo-xiang1;XUE Wen3


  1. (1. School of Science, Xidian Univ., Xi'an 710071, China;
    2. Xi'an Posts and Telecommunications Institute, Xi'an 710061, China;
    3. Xi'an Political Academy, Xi'an 710068, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2004-08-20 Published:2004-08-20

摘要: 对Mallat算法强制去噪、小波变换模极大值去噪、非线性小波变换阈值法去噪及基于小波域相关性的去噪法的原理进行了阐述,并比较了这几种小波去噪方法的优缺点,给出了两种改进方法,仿真结果表明有效可行.

关键词: 图像去噪, 模极大值, 阈值, 样条, 小波域

Abstract: Wavelet image denoising has been well acknowledged as an important method for denoising in Image Processing. The principles of several wavelet denoising methods including the Mallat forced denoising, the wavelet transform modulus maximum method, the nonlinear wavelet threshold denoising method and the denoising based on the interrelation of wavelet domain are described, and this paper compares these methods, and gives two improved methods. The results show that they are practicable and effective for image denoising.

Key words: image denoising, modulus maximum, threshold, spline, wavelet domain


  • TP391.41