Learning-driven lossy image compression: A comprehensive survey

Published: 01 Jan 2023, Last Modified: 31 Oct 2024Eng. Appl. Artif. Intell. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Discussion about the background of image compression.•Classification of image compression frameworks into subgroups based on architectures.•Insight about open research problems and future research directions in learning-driven image compression.
Loading

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview