Principal Component Analysis of spectral coefficients for mesh watermarking.
Ming LuoAdrian G. BorsPublished in: ICIP (2008)
Keyphrases
- principal component analysis
- linear prediction
- principal components
- power spectral
- dimension reduction
- watermarking scheme
- low dimensional
- linear predictive coding
- linear discriminant analysis
- covariance matrix
- face recognition
- independent component analysis
- dimensionality reduction
- hyperspectral imagery
- wavelet coefficients
- linear combination
- fragile watermarking
- discriminant analysis
- digital images
- copyright protection
- spread spectrum
- singular value decomposition
- image watermarking
- d mesh
- hyperspectral images
- data hiding
- feature extraction
- basis functions
- feature space
- random projections
- lossless compression
- spectral analysis
- negative matrix factorization
- transform domain
- information hiding
- hyperspectral
- remote sensing
- image authentication
- spectral features
- bit rate
- signal processing