ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training

arXiv:2305.02145v2 Announce Type: replace
Abstract: Progressive compression allows images to start loading as low-resolution versions, becoming clearer as more data is received. This increases user experience when, for example, network connections are slow. Today, most approaches for image compression, both classical and learned ones, are designed to be non-progressive. This paper introduces ProgDTD, a training method that transforms learned, non-progressive image compression approaches into progressive ones. The design of ProgDTD is based on the observation that the information stored within …

abstract arxiv compression cs.cv data eess.iv example experience image images loading low network ones paper resolution training type versions