Improving Inference for Neural Image Compression.
Yibo YangRobert BamlerStephan MandtPublished in: CoRR (2020)
Keyphrases
- image compression
- vector quantization
- wavelet transform
- probabilistic inference
- compression ratio
- neural network
- reconstructed image
- compression algorithm
- subband
- image processing
- network architecture
- low bit rate
- bayesian networks
- inference process
- compression scheme
- image sequences
- transform coding
- bayesian model
- neural model
- nonlinear predictive control
- compressed images
- bayesian inference
- image segmentation
- artificial intelligence