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Martin Bruse

Martin Bruse

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    JPEG XL next-generation image compression architecture and coding tools
    Ruud van Asseldonk
    Moritz Firsching
    Thomas Fischbacher
    Sebastian Gomez
    Evgenii Kliuchnikov
    Robert Obryk
    Krzysztof Potempa
    Alexander Rhatushnyak
    Jon Sneyers
    Zoltan Szabadka
    Luca Versari
    SPIE Applications of Digital Image Processing, SPIE (2019)
    Preview abstract An update on the JPEG XL standardization effort: JPEG XL is a practical approach focused on scalable web distribution and efficient compression of high-quality images. It will provide various benefits compared to existing image formats: significantly smaller size at equivalent subjective quality; fast, parallelizable decoding and encoding configurations; features such as progressive, lossless, animation, and reversible transcoding of existing JPEG; support for high-quality applications including wide gamut, higher resolution/bit depth/dynamic range, and visually lossless coding. Additionally, a royalty-free baseline is an important goal. The JPEG XL architecture is traditional block-transform coding with upgrades to each component. We describe these components and analyze decoded image quality. View details
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