2024
DOI: 10.20944/preprints202403.1272.v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Unveiling the Future of Human and Machine Coding: A Survey of End-to-End Learned Image Compression

Chen-Hsiu Huang,
Ja-Ling Wu

Abstract: End-to-end learned image compression codecs have notably emerged in recent years. These codecs have demonstrated superiority over conventional methods, showcasing remarkable flexibility and adaptability across diverse data domains while supporting new distortion losses. Despite challenges such as computational complexity, learned image compression methods inherently align with learning-based data processing and analytic pipelines due to their well-suited internal representations. The concept of Video Coding fo… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 128 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?