Color VQ-Based Image Compression by Manifold Learning.
Christophe CharrierOlivier LezorayPublished in: ICISP (2010)
Keyphrases
- manifold learning
- image compression
- vector quantization
- low dimensional
- dimensionality reduction
- wavelet transform
- subspace learning
- laplacian eigenmaps
- subband
- nonlinear dimensionality reduction
- dimension reduction
- high dimensional
- feature extraction
- semi supervised
- diffusion maps
- compressed images
- head pose estimation
- high dimensional data
- compression ratio
- image processing
- geodesic distance
- sparse representation
- feature space
- manifold structure
- finite state vector quantization
- machine learning
- pairwise
- low dimensional manifolds
- similarity measure
- fractal image coding
- nonlinear manifold