scholarly journals A Dyadic Wavelet Filtering Method for 2-D Image Denoising

2011 ◽  
Vol 02 (04) ◽  
pp. 308-315 ◽  
Author(s):  
Yonggui Zhu ◽  
Xiaolan Yang
Keyword(s):  
Image Denoising ◽  
Wavelet Filtering ◽  
Filtering Method ◽  
Dyadic Wavelet

A wavelet filtering method for cumulative gamma spectroscopy used in wear measurements

2017 ◽  
Vol 120 ◽  
pp. 51-59 ◽  
Author(s):  
Davide Bianchi ◽  
Claudia Lenauer ◽  
Gerhard Betz ◽  
András Vernes
Keyword(s):  
Gamma Spectroscopy ◽  
Wavelet Filtering ◽  
Filtering Method

IMAGE DENOISING BASED ON THE DYADIC WAVELET TRANSFORM AND IMPROVED THRESHOLD

2009 ◽  
Vol 07 (03) ◽  
pp. 269-280 ◽  
Author(s):  
ZHENGHONG HUANG ◽  
BIN FANG ◽  
XIPING HE ◽  
LI XIA
Keyword(s):  
Wavelet Transform ◽  
Theoretical Analysis ◽  
Image Denoising ◽  
The Self ◽  
Threshold Function ◽  
Wavelet Coefficients ◽  
Threshold Method ◽  
Dyadic Wavelet ◽  
Dyadic Wavelet Transform ◽  
Noise Experiment

Wavelet transform has shown a strong capability to filter out noise that existed in images. The main problem to improve denoising performance lies in the fact that it is difficult to select suitable wavelet transform and related thresholds. In this paper, we completely explore characteristics of dyadic wavelet transform and its possible use to image denoising. An improved threshold method is elaborately designed to establish the self-adjusted layer threshold function and wavelet reconstruction. Theoretical analysis shows that denoising precision can be improved by way of adopting different thresholds according to the different scales of the wavelet coefficients of image and noise. Experiment results demonstrated that our method is obviously superior to that of fixed threshold regarding the effect of image denoising.

An investigation of speech enhancement using wavelet filtering method

2010 ◽  
Vol 13 (2) ◽  
pp. 101-115 ◽  
Author(s):  
Khaled Daqrouq ◽  
Ibrahim N. Abu-Isbeih ◽  
Omar Daoud ◽  
Emad Khalaf
Keyword(s):  
Speech Enhancement ◽  
Wavelet Filtering ◽  
Filtering Method
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