A comparison of image compression by neural networks and principal component analysis.
D. AnthonyE. HinesJ. BarhamD. TaylorPublished in: IJCNN (1990)
Keyphrases
- image compression
- neural network
- principal component analysis
- vector quantization
- compression scheme
- neural network model
- independent component analysis
- artificial neural networks
- wavelet transform
- back propagation
- recurrent neural networks
- genetic algorithm
- low dimensional
- dimensionality reduction
- fuzzy logic
- subband
- discrete cosine transform
- principal components
- feature extraction
- feature space
- covariance matrix
- dimension reduction
- feed forward
- fault diagnosis
- compression ratio
- image segmentation
- data sets
- multi layer
- rough sets