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
eISSN - 2464-4625
pISSN - 2464-4617
DOI - 10.24132/csrn.2021.3002.38
Subject(s) - lossy compression , lossless compression , computer science , lossless jpeg , image compression , jpeg , computer vision , data compression , compression (physics) , focus (optics) , image (mathematics) , artificial intelligence , image processing , optics , physics , thermodynamics
In recent years, a bag with image and video compression formats has been torn. However, most of them are focusedon lossy compression and only marginally support the lossless mode. In this paper, I will focus on lossless formatsand the critical question: "Which one is the most efficient?" It turned out that FLIF is currently the most efficientformat for lossless image compression. This finding is in contrast to that FLIF developers stopped its developmentin favor of JPEG XL.