Denoising using local projective subspace methods.
Peter GruberKurt StadlthannerMatthias BöhmFabian J. TheisElmar Wolfgang LangAna Maria ToméAna R. TeixeiraCarlos García PuntonetJuan Manuel Górriz SáezPublished in: Neurocomputing (2006)
Keyphrases
- subspace methods
- denoising
- image denoising
- linear discriminant analysis
- noisy images
- image processing
- principal component analysis
- face recognition
- kernel based nonlinear
- natural images
- ensemble methods
- support vector machine
- wavelet packet
- lower dimensional
- linear subspace
- benchmark datasets
- face databases
- blind source separation
- d objects
- feature extraction
- learning algorithm