Comparison of Lossless Image Formats | Zendy

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Comparison of Lossless Image Formats

Author(s) -

David Barina

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) - lossless compression , lossy compression , lossless jpeg , computer science , image compression , jpeg , data compression , computer vision , 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.

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