Scalable Learned Image Compression With A Recurrent Neural Networks-Based Hyperprior.
Rige SuZhengxue ChengHeming SunJiro KattoPublished in: ICIP (2020)
Keyphrases
- recurrent neural networks
- image compression
- vector quantization
- feed forward
- neural network
- recurrent networks
- complex valued
- wavelet transform
- feedforward neural networks
- hebbian learning
- reservoir computing
- cascade correlation
- artificial neural networks
- echo state networks
- compression ratio
- long short term memory
- neural model
- reconstructed image
- compression algorithm
- subband
- nonlinear dynamic systems
- artificial intelligence
- real time
- compression scheme
- neural models
- image processing