A novel SVD and LS-SVM combination algorithm for blind watermarking

Neurocomputing

Volumn 142, Issue , 2014, Pages 520-528

  Zheng, Pan Pan ^a   Feng, Jun ^a   Li, Zhan ^a   Zhou, Ming quan ^b  

^a NORTHWEST UNIVERSITY   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Geometrical distortion; Image blind watermarking; LS SVM; SVD

Indexed keywords

ALGORITHMS; IMAGE CODING; SINGULAR VALUE DECOMPOSITION; SUPPORT VECTOR MACHINES; WATERMARKING;

BLIND WATERMARKING; COEFFICIENT BLOCKS; GEOMETRICAL DISTORTION; INTEGER WAVELET TRANSFORMS; LEAST SQUARE SUPPORT VECTOR MACHINES; LEAST SQUARES SUPPORT VECTOR MACHINES; LS-SVM; WATERMARK EMBEDDING;

IMAGE WATERMARKING;

ALGORITHM; ARTICLE; BLIND WATERMARKING; CALCULATION; CONSTANTS AND COEFFICIENTS; EMBEDDING; EXTRACTION; GEOMETRY; IMAGE ANALYSIS; IMAGE PROCESSING; INTEGER WAVELET TRANSFORM LEAST SQUARE SUPPORT VECTOR MACHINE SINGULAR VALUE DECOMPOSITION COMBINATION ALGORITHM; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROCESS DESIGN; SIGNAL PROCESSING;

EID: 84904260463     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.04.005     Document Type: Article

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