A novel denoising algorithm based on fuzzy clustering and wavelet transform

摘要：

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.

关键词： Lipschitz exponent Fuzzy clustering Wavelet transform Denoising algorithm

作者: Shan Wei Chun-juan OuYang Si-min Wei

作者单位: Information and Computer Engineering Institute, Northeast Forestry University, Harbin 150040,China College of Information Science and Media, Jinggangshan University, Jian 343009, China College of Information Science and Media,Jinggangshan University, Jian 343009, China

会议类型: 国际会议

会议名称: 2009 International Symposium on Liquid Crystal Science and Technology(2009国际液晶科技研讨会)

会议地点: 昆明

会议语种:英文

页码: 569-572

在线出版日期: 2009-08-02（万方平台首次上网日期，不代表论文的发表时间）