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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

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

CLC Number: 

  • TP391.41