DocumentCode :
1163781
Title :
Wavelet domain image denoising via support vector regression
Author :
Cheng, H. ; Tian, J.W. ; Liu, J. ; Yu, Q.Z.
Author_Institution :
Key Lab. of Educ. Minist. for Image Process. & Intelligence Control, Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
40
Issue :
23
fYear :
2004
Firstpage :
1479
Lastpage :
1481
Abstract :
An image denoising method based on wavelets and support vector regression is proposed. Investigation on real images contaminated by Gaussian noise has demonstrated that the performance of the presented method outperforms conventional wavelet denoising techniques.
Keywords :
Gaussian noise; image denoising; regression analysis; support vector machines; wavelet transforms; Gaussian noise; real images; support vector regression; wavelet denoising techniques; wavelet domain image denoising;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20046567
Filename :
1358946
Link To Document :
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