A Hybrid Wireless Image Transmission Scheme with Diffusion
- Resource Type
- Conference
- Authors
- Niu, Xueyan; Wang, Xu; Gunduz, Deniz; Bai, Bo; Chen, Weichao; Zhou, Guohua
- Source
- 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Signal Processing Advances in Wireless Communications (SPAWC), 2023 IEEE 24th International Workshop on. :86-90 Sep, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Wireless communication
Image coding
Image communication
Gaussian noise
Semantics
Signal processing
Digital communication
Semantic communication
joint source-channel coding
diffusion model
wireless network
- Language
- ISSN
- 1948-3252
We propose a hybrid joint source-channel coding (JSCC) scheme, in which the conventional digital communication scheme is complemented with a generative refinement component to improve the perceptual quality of the reconstruction. The input image is decomposed into two components: the first is a coarse compressed version, and is transmitted following the conventional separation based approach. An additional component is obtained through the diffusion process by adding independent Gaussian noise to the input image, and is transmitted using DeepJSCC. The decoder combines the two signals to produce a high quality reconstruction of the source. Experimental results show that the hybrid design provides bandwidth savings and enables graceful performance improvement as the channel quality improves.