Source Code for Structure-Preserving Semantic Image Transmission under Low-Bandwidth Networks

These modules support the proposed structure-preserving semantic transmission model and its experimental pipeline.The method is evaluated on the Set14 and DIV2K datasets, and its performance is further analyzed under LoRa physical link conditions in terms of transmission efficiency, latency, and reconstruction quality in low-bandwidth environments. Experimental results show that under a low-bitrate constraint of approximately 0.3 bpp, the proposed method achieves a good balance among structural consistency, visual naturalness, and end-to-end inference latency, making it suitable for high-reliability edge visual communication scenarios.This dataset can be used for research and experimental reproduction in areas such as semantic communication, low-bitrate image transmission, generative reconstruction, edge intelligence, and high-reliability visual communication.

Detailed instructions, runtime environment, and dependency configurations can be found in the accompanying README file.