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A novel denoising algorithm based on fuzzy clustering and wavelet transform

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  • NETL
  • NSTL
  • Trans Tech Publications Ltd
According to analyzing the different wavelet coefficients' transmission property of signals and noises under different scales of the wavelet transform, LEFC denoising algorithm based on fuzzy clustering and wavelet transform is proposed. Our experimental evaluations show that the algorithm is effective and robust to restore the images compared with the other wavelet soft-thresholding algorithms. When the ratio exceeds 40 %, LEFC gives superior performance.

lipschitz exponentfuzzy clusteringwavelet transformdenoising algorithm

Shan Wei、Chun-juan OuYang、Si-min Wei

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Information and Computer Engineering Institute, Northeast Forestry University, Harbin 150040, China

College of Information Science and Media, Jinggangshan University, Ji'an 343009, China

2010

10.4028/www.scientific.net/KEM.428-429.569

Key engineering materials

Key engineering materials

ISSN：1013-9826
年,卷(期)：2010.428/429
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