AN IMPROVED DENOISING ALGORITHM BASED ON WAVELET MODULAR MAXIMUM
He Yonghong;Wen Hongyan; and Jin Pengwei
Department of Civil Engineering, Guilin University of Technology,Guilin 541004
Abstract Combining the method of threshold denoising with scale tracking theory by Witkin, the improved denosing algorithm of Wavelet modular maximum can reject out the modular maximum value from the noise, and recover the signal efficiently.Compared with the traditional denosing methods by threshold value and translation invariance, the algorithm increases the signal to noise ratio.
Key words ：
wavelet
modular maximum
threshold value de-noising
translation invariance
deformation monitor
Received: 01 January 1900
Corresponding Authors:
He Yonghong
Cite this article:
He Yonghong,Wen Hongyan,and Jin Pengwei. AN IMPROVED DENOISING ALGORITHM BASED ON WAVELET MODULAR MAXIMUM [J]. , 2007, 27(2): 94-98.
He Yonghong,Wen Hongyan,and Jin Pengwei. AN IMPROVED DENOISING ALGORITHM BASED ON WAVELET MODULAR MAXIMUM [J]. jgg, 2007, 27(2): 94-98.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2007/V27/I2/94
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