DocumentCode
2966352
Title
A Method of Detecting and Deleting Noise Based on the Maximum Value Iteration of the Wavelet Transform
Author
Qiyuan, Zhong ; Lilong, Tan ; Xianxiang, Huang
Author_Institution
Xi´´an High-Tech Grad. Sch., Xian, China
Volume
2
fYear
2011
fDate
28-29 March 2011
Firstpage
1029
Lastpage
1031
Abstract
The singular points in signal often include some important information, whose detection and localization have significance in many practical problems. In this paper, according to the relationship between the singular points in signal and the maximum absolute value of the signal wavelet transform, the noise can be deleted through the maximum absolute value iteration. The effectiveness of deleting noise by using this method is experimentally demonstrated.
Keywords
image denoising; signal detection; wavelet transforms; maximum value iteration; noise detection; signal wavelet transform; Continuous wavelet transforms; Kernel; Missiles; Noise; Smoothing methods; Deleting Noise; Singular Points; Threshold; the Maximum Value Iteration; the Wavelet Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.542
Filename
5751067
Link To Document