Image Compression with Recurrent Neural Network and Generalized Divisive Normalization.
Khawar IslamL. Minh DangSujin LeeHyeonjoon MoonPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- image compression
- neural network
- feed forward
- vector quantization
- complex valued
- recurrent networks
- artificial neural networks
- hidden layer
- feedforward neural networks
- echo state networks
- wavelet transform
- long short term memory
- compression algorithm
- neural model
- back propagation
- clustering algorithm
- image processing
- reservoir computing
- compression ratio
- neuro fuzzy
- clustering method
- low bit rate
- hebbian learning
- nonlinear dynamic systems
- compression scheme
- information theoretic
- support vector machine
- preprocessing
- agglomerative clustering
- progressive transmission
- multiscale
- learning algorithm
- genetic algorithm