Semantic Image Compression for Rate, Distortion, and Performance Optimization: A Systematic Review with Quantitative Synthesis
This review summarizes the existing methodologies, introduces new research trends, and offers useful insights for designing efficient semantic image compression systems for edge intelligence, medical imaging, autonomous platforms and communication networks empowered by artificial intelligence.