Neural Image Compression: Generalization, Robustness, and Spectral Biases.
Kelsey LiebermanJames DiffenderferCharles GodfreyBhavya KailkhuraPublished in: CoRR (2023)
Keyphrases
- image compression
- vector quantization
- network architecture
- wavelet transform
- compression scheme
- low bit rate
- neural network
- compression algorithm
- computational efficiency
- image transmission
- compression ratio
- subband
- spectral images
- data sets
- lossless compression
- spectral analysis
- high robustness
- discrete cosine transform
- compressed images
- embedded zerotree
- entropy coding
- reconstructed image
- learning algorithm