Soft then Hard: Rethinking the Quantization in Neural Image Compression.
Zongyu GuoZhizheng ZhangRunsen FengZhibo ChenPublished in: ICML (2021)
Keyphrases
- data compression
- image compression
- compression ratio
- compression algorithm
- huffman coding
- compression scheme
- entropy coding
- quantization scheme
- lossy image compression
- subband coding
- image coder
- vector quantization
- low bit rate
- reconstructed image
- uniform quantization
- wavelet transform
- transform coding
- subband
- network architecture
- adaptive quantization
- scalar quantization
- neural network
- tree structured vector quantization
- lossless compression
- image processing
- image transmission
- discrete cosine transform
- quantization error
- progressive transmission
- transform coefficients
- neural model
- neural fuzzy
- wavelet packet
- bio inspired
- feature vectors
- artificial neural networks
- computational complexity
- block truncation coding
- computer vision