Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system.
Yujun HuangBin ChenJianghui ZhangQiu HanShu-Tao XiaPublished in: DAC (2022)
Keyphrases
- resource constrained
- compressive sensing
- image compression
- resource constraints
- wireless sensor networks
- sparse representation
- sensor networks
- random projections
- signal processing
- wavelet transform
- compressive sampling
- image representation
- multipath
- subband
- compressed sensing
- multiscale
- image processing
- embedded systems
- sensor nodes
- dimensionality reduction
- pattern recognition
- energy consumption
- feature selection