Computationally Efficient Neural Image Compression.
Nick JohnstonElad EbanAriel GordonJohannes BalléPublished in: CoRR (2019)
Keyphrases
- image compression
- computationally efficient
- vector quantization
- network architecture
- wavelet transform
- neural network
- compression scheme
- subband
- low bit rate
- compression ratio
- nonlinear model predictive control
- compression algorithm
- reconstructed image
- bio inspired
- neural computation
- image transmission
- lossless compression
- connectionist models
- discrete cosine transform
- biologically plausible
- compressed images
- entropy coding
- lossy image compression
- neural model
- computational complexity
- artificial neural
- neural architecture
- image coder
- computer vision
- image processing
- feature extraction
- associative memory
- hebbian learning
- dynamic model
- reinforcement learning
- block truncation coding
- control system
- genetic algorithm