A Novel Denoising Algorithm Based on Fuzzy Clustering and Wavelet Transform |
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| Journal | Key Engineering Materials (Volumes 428 - 429) |
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| Volume | Advances in Liquid Crystals |
| Edited by | Yuan Ming Huang |
| Pages | 569-572 |
| DOI | 10.4028/www.scientific.net/KEM.428-429.569 |
| Citation | Shan Wei et al., 2010, Key Engineering Materials, 428-429, 569 |
| Online since | January, 2010 |
| Authors | Shan Wei, Chun Juan Ou Yang, Si Min Wei |
| Keywords | Denoising Algorithm, Fuzzy Clustering, Lipschitz Exponent, Wavelet Transform (WT) |
| Abstract | 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. |
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