A wavelet-based image denoising using least squares support vector machine

Engineering Applications of Artificial Intelligence

Volumn 23, Issue 6, 2010, Pages 862-871

  Wang, Xiang Yang ^a,b   Fu, Zhong Kai ^a,b  

^a LIAONING NORMAL UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Image denoising; LS SVM; Spatial regularity; Wavelet transform

Indexed keywords

CLASSIFICATION PERFORMANCE; CONVEX QUADRATIC PROGRAMMING; DE-NOISING TECHNIQUES; EQUALITY CONSTRAINTS; FEATURE VECTORS; GLOBAL MINIMIZERS; IMAGE DENOISING; LEAST SQUARES SUPPORT VECTOR MACHINES; NOISY IMAGE; OBJECTIVE EVALUATION; SUB-BANDS; SVM MODEL; THRESHOLDING METHODS; TRAINING MODEL; WAVELET COEFFICIENTS; WAVELET DOMAIN; WAVELET-BASED IMAGES;

FREQUENCY RESPONSE; IMAGE PROCESSING; IMAGE RETRIEVAL; QUADRATIC PROGRAMMING; SUPPORT VECTOR MACHINES;

WAVELET TRANSFORMS;

EID: 77953961082     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2009.09.013     Document Type: Article

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