Image Denoising Using Sparse Representation and Principal Component Analysis.
Maryam AbediniHorriyeh HaddadMarzieh Faridi MasoulehAsadollah ShahbahramiPublished in: Int. J. Image Graph. (2022)
Keyphrases
- sparse representation
- principal component analysis
- face recognition
- dimensionality reduction
- random projections
- negative matrix factorization
- dictionary learning
- sparse coding
- high dimensional data
- principal components
- covariance matrix
- low dimensional
- wavelet domain
- subspace learning
- compressive sensing
- image patches
- independent component analysis
- image classification
- signal processing
- linear discriminant analysis
- feature space
- feature extraction
- dimension reduction
- reconstruction error
- face images
- joint optimization
- norm minimization
- compressed sensing
- lower dimensional
- regularized least squares
- image representation
- data sets
- sparse reconstruction
- sparse approximations
- piecewise smooth
- test images
- singular value decomposition
- unsupervised learning
- sparsity constraints
- training data
- sparse coefficients
- data mining