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How a decade of open source experiments led to JPEG XL, the next-generation image standard

By

@GoogleOSS

6d ago· 6 min readenInsight

Summary

This article chronicles the decade-long open source journey behind JPEG XL (JXL), a next-generation image coding standard. It details how experiments in psychovisual modeling and compression—including projects like Guetzli, Butteraugli, and Pik—led to breakthroughs in perceptual image quality. The authors explain how JPEG XL addresses modern display needs like HDR and Wide Color Gamut while offering features such as lossless recompression of legacy JPEGs, efficient encoding/decoding, and royalty-free licensing. The piece positions JXL as the culmination of collaborative open source research that balances visual fidelity with bandwidth efficiency.

Key quotes

· 3 pulled
The internet runs on images. Since the early days of the web, there has been a relentless tension between visual fidelity and bandwidth.
The road to JPEG XL (JXL) wasn't a straight line. It was a decade-long exploration through open source experiments that reshaped our understanding of how humans perceive images.
JPEG XL is designed to be the universal image format that can replace both JPEG and its various successors, offering backward compatibility while pushing forward the boundaries of compression efficiency.
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Explore how a decade of open source experiments in psychovisual modeling and compression led to JPEG XL, the future of image coding.

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