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Image denoising based on the double-Haar wavelet

HE Chang-wei,WANG Xin   

  1. College of Information Science and Engineering,Shandong University,Jinan 250100,China
  • Received:2006-12-08 Revised:1900-01-01 Online:2007-08-24 Published:2007-08-24
  • Contact: HE Chang-wei

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Abstract: To realize  image denoising in the  wavelet domain is a lively research field in  signal processing .The double Haar wavelet proposed recently can make image denoising more efficient. Based on the double Haar wavelet transformation, an improved method is proposed to realize the noise smoothing and the details protection in review of the partial statistic features of the Lee filter and  high frequency containing  many edges and details of the image . Experimental results show that the proposed algorithm can produce  better denoising results than the soft thresholding proposed by Donoho.

Key words: double Haar wavelet, Lee filter, image denoising

CLC Number: 

  • TN911.73
[1] LIU Cheng-Yun, CHEN Zhen-Hua, CHANG Fa-Liang. Self-adaptive threshold method of MR image denoisingbased on stationary wavelet transformation [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 58-61.
[2] , . Image Denoising Based on Double-haar Wavelet [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(4): 0-0 .
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