Wavelet domain image denoising via support vector regression

Electronics Letters

Volumn 40, Issue 23, 2004, Pages 1479-1481

  Cheng, H ^a   Tian, J W ^a   Liu, J ^a   Yu, Q Z ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; MAPPING; MATRIX ALGEBRA; NOISE ABATEMENT; REGRESSION ANALYSIS; WAVE FILTERS; WAVELET TRANSFORMS;

BAYESSHRINK THRESHOLD TECHNIQUE; IMAGE DENOISING; VECTOR REGRESSION; WAVELET DOMAIN;

IMAGE PROCESSING;

EID: 9144249812     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20046567     Document Type: Article

References (5)

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2. Donoho, D.L., and Johnstone, I.M.: 'Ideal spatial adaptation via wavelet shrinkage', Biometrica, 1994, 81, pp. 425-455
3. Chang, S.G., Yu, B., and Vetterli, M.: 'Adaptive wavelet thresholding for image denoising and compression', IEEE Trans. Image Process., 2000, 9, pp. 1532-1546
4. Vapnik, V.: 'The nature of statistical learning theory' (Springer-Verlag, New York, 1995)
5. Suykens, J.A.K., and Vandewalle, J.: 'Least squares support vector machine classifiers'. Neural Process. Lett., 1999, 9, (3), pp. 293-300