A Novel Denoising Algorithm Based on Fuzzy Clustering and Wavelet Transform

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 428-429)

Edited by:

Yuan Ming Huang

Pages:

569-572

DOI:

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

Citation:

S. Wei et al., "A Novel Denoising Algorithm Based on Fuzzy Clustering and Wavelet Transform", Key Engineering Materials, Vols. 428-429, pp. 569-572, 2010

Online since:

January 2010

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Price:

$35.00

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