Exploring Structural Sparsity in Neural Image Compression.
Shanzhi YinFanyang MengWen TanChao LiYouneng BaoYongsheng LiangWei LiuPublished in: CoRR (2022)
Keyphrases
- image compression
- vector quantization
- neural network
- compression scheme
- wavelet transform
- structural information
- low bit rate
- discrete cosine transform
- sparse representation
- network architecture
- image processing
- image transmission
- compression algorithm
- reconstructed image
- progressive transmission
- structural analysis
- subband
- high dimensional
- bio inspired
- entropy coding
- block truncation coding
- lossless compression
- compression ratio
- compressed images
- mobile robot
- hebbian learning
- sparse approximation