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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.542
