Open AccessComparison of Lossless Image Formats
Author(s) -
David Bařina
Publication year - 2021
Publication title -
computer science research notes
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.11
H-Index - 4
eISSN - 2464-4625
pISSN - 2464-4617
DOI - 10.24132/csrn.2021.3101.38
Subject(s) - lossy compression , lossless compression , computer science , lossless jpeg , image compression , jpeg , data compression , computer vision , focus (optics) , compression (physics) , image (mathematics) , artificial intelligence , image processing , optics , physics , materials science , composite material
In recent years, a bag with image and video compression formats has been torn. However, most of them are focused on lossy compression and only marginally support the lossless mode. In this paper, I will focus on lossless formats and the critical question: "Which one is the most efficient?" It turned out that FLIF is currently the most efficient format for lossless image compression. This finding is in contrast to that FLIF developers stopped its development in favor of JPEG XL.