DocumentCode :
158194
Title :
The de-noising method of threshold function based on wavelet
Author :
Kun Yang ; Cai-Xia Deng ; Yu Chen ; Li-Xiang Xu
Author_Institution :
Sch. of Appl. Sci., Harbin Univ. of Sci. & Technol., Harbin, China
fYear :
2014
fDate :
13-16 July 2014
Firstpage :
87
Lastpage :
92
Abstract :
Image in the process of collection and storage can produce noise. Wavelet threshold de-noising is a method to remove noise effectively. The threshold function is a key in wavelet threshold de-noising method. In view of the hard-threshold function discontinuity and soft-threshold function deviation problem, through the analysis of the existing wavelet threshold de-noising methods, we present the improvement de-noising method of threshold function with the parameters in adjustable. Through experiments, we compare our method with the existing methods of wavelet threshold de-noising. In terms of the evaluation criteria, we find that the improved method of threshold function can remove the noise effectively.
Keywords :
image denoising; wavelet transforms; hard-threshold function discontinuity; soft-threshold function deviation problem; wavelet threshold denoising method; Noise; Noise reduction; Pattern recognition; Wavelet analysis; Wavelet coefficients; Threshold; Threshold function; Wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2014 International Conference on
Conference_Location :
Lanzhou
ISSN :
2158-5695
Print_ISBN :
978-1-4799-4212-1
Type :
conf
DOI :
10.1109/ICWAPR.2014.6961296
Filename :
6961296
Link To Document :
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