Neural Image Compression: Generalization, Robustness, and Spectral Biases.
Kelsey LiebermanJames DiffenderferCharles GodfreyBhavya KailkhuraPublished in: NeurIPS (2023)
Keyphrases
- image compression
- vector quantization
- neural network
- wavelet transform
- low bit rate
- subband
- network architecture
- compression scheme
- compressed images
- compression algorithm
- compression ratio
- spectral images
- image transmission
- hyperspectral imagery
- image processing
- bio inspired
- discrete cosine transform
- high frequency
- multiscale
- associative memory
- visual quality
- computational efficiency
- bit rate
- spectral features
- inductive bias
- computer vision