Image denoising based on wavelet support vector regression

Machine Graphics and Vision

Volumn 15, Issue 3-4, 2006, Pages 673-680

  Zhang, Shaoming ^a   Chen, Ying ^a  

^a TONGJI UNIVERSITY   (China)

Author keywords

Function approximation; Image denoising; Support vector regression; Wavelet analysis

Indexed keywords

DIGITAL FILTERS; IMAGE PROCESSING; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS;

FUNCTION APPROXIMATION; IMAGE DENOISING; SUPPORT VECTOR REGRESSION;

NOISE ABATEMENT;

EID: 38149037139     PISSN: 12300535     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (6)

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2. 1992 Zhang.Q.H., Benveniste.A.: Wavelet networks. IEEE Transactions on Neural Networks (Periodical style), 3(6), 889-898.
3. 1998 Vapnik V.: Statistical Learning Theory. John Wiley and Sons, New York.
4. Smola A., Scholkopf B.: A Tutorial on Support Vector Regression. Technical Report. Technical Report, NC-TR-98-030, Royal Holloway College, University of London, UK.
5. 2000 Cristianini.N., Taylor.J. S.: An introduction to support vector machines and other kernel-based learning methods.Cambridge university press.
6. 2004 Zhang. L., Zhou. W.: Wavelet Support Vector Machine. IEEE Transactions on Systems, Man and Cybernetics, Part B, 34(1), 34-39.