Efficient Image Denoising Method Based on a New Adaptive Wavelet Packet Thresholding Function

2012 ◽  
Vol 21 (9) ◽  
pp. 3981-3990 ◽  
Author(s):  
Abdolhossein Fathi ◽  
Ahmad Reza Naghsh-Nilchi
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Feng Miao ◽  
Rongzhen Zhao ◽  
Xianli Wang

In order to improve the performance of the denoising method for vibration signals of rotating machinery, a new method of signal denoising based on the improved median filter and wavelet packet technology is proposed through analysing the characteristics of noise components and relevant denoising methods. Firstly, the window width of the median filter is calculated according to the sampling frequency so that the impulse noise and part of the white noise can be effectively filtered out. Secondly, an improved self-adaptive wavelet packet denoising technique is used to remove the residual white noise. Finally, useful vibration signals are obtained after the previous processing. Simulation signals and rotor experimental vibration signals were used to verify the performance of the method. Experiment results show that the method can not only effectively eliminate the mixed complex noises but also preserve the fault character details, which demonstrates that the proposed method outperforms the method based on the wavelet-domain median filter.


2017 ◽  
Vol 9 (3) ◽  
pp. 129 ◽  
Author(s):  
Pankaj Sharma ◽  
Kashif Khan ◽  
Khalil Ahmad

2018 ◽  
Vol 6 (12) ◽  
pp. 448-452
Author(s):  
Md Shaiful Islam Babu ◽  
Kh Shaikh Ahmed ◽  
Md Samrat Ali Abu Kawser ◽  
Ajkia Zaman Juthi

2009 ◽  
Vol 29 (1) ◽  
pp. 68-70
Author(s):  
Chun-rui TANG ◽  
Dan-dan LIU

2013 ◽  
Vol 32 (11) ◽  
pp. 3218-3220
Author(s):  
Jin YANG ◽  
Zhi-qin LIU ◽  
Yao-bin WANG ◽  
Xiao-ming GAO

Sign in / Sign up

Export Citation Format

Share Document