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Proceedings Paper

JPEG XL next-generation image compression architecture and coding tools
Author(s): Jyrki Alakuijala; Ruud van Asseldonk; Sami Boukortt; Martin Bruse; Iulia-Maria Comșa; Moritz Firsching; Thomas Fischbacher; Evgenii Kliuchnikov; Sebastian Gomez; Robert Obryk; Krzysztof Potempa; Alexander Rhatushnyak; Jon Sneyers; Zoltan Szabadka; Lode Vandevenne‎; Luca Versari; Jan Wassenberg

Paper 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.

Paper Details

Date Published: 6 September 2019
PDF: 13 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111370K (6 September 2019); doi: 10.1117/12.2529237
Show Author Affiliations
Jyrki Alakuijala, Google Zürich (Switzerland)
Ruud van Asseldonk, Google Zürich (Switzerland)
Sami Boukortt, Google Zürich (Switzerland)
Martin Bruse, Google Zürich (Switzerland)
Iulia-Maria Comșa, Google Zürich (Switzerland)
Moritz Firsching, Google Zürich (Switzerland)
Thomas Fischbacher, Google Zürich (Switzerland)
Evgenii Kliuchnikov, Google Zürich (Switzerland)
Sebastian Gomez, Google Zürich (Switzerland)
Robert Obryk, Google Zürich (Switzerland)
Krzysztof Potempa, Google Zürich (Switzerland)
Alexander Rhatushnyak, Google Zürich (Switzerland)
Jon Sneyers, Cloudinary (Israel)
Zoltan Szabadka, Google Zürich (Switzerland)
Lode Vandevenne‎, Google Zürich (Switzerland)
Luca Versari, Google Zürich (Switzerland)
Jan Wassenberg, Google Zürich (Switzerland)

Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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