DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression. (arXiv:2201.01173v1 [eess.IV])

Scalable coding, which can adapt to channel bandwidth variation, performs
well in today's complex network environment. However, the existing scalable
compression methods face two challenges: reduced compression performance and
insufficient scalability. In this paper, we propose the first learned
fine-grained scalable image compression model (DeepFGS) to overcome the above
two shortcomings. Specifically, we introduce a feature separation backbone to
divide the image information into basic and scalable features, then
redistribute the features channel by channel through an information
rearrangement strategy. …

arxiv coding compression